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You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Roth, Dan"). Showing records 1 – 30 of 60 total matches.

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University of Illinois – Urbana-Champaign

1. Duncan, Chase. A study of coherence in entity linking.

Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign

 Entity linking (EL) is the task of mapping entities, such as persons, locations, organizations, etc., in text to a corresponding record in a knowledge base… (more)

Subjects/Keywords: Entity Linking; Machine Learning; NLP

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APA (6th Edition):

Duncan, C. (2018). A study of coherence in entity linking. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102393

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Duncan, Chase. “A study of coherence in entity linking.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/102393.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Duncan, Chase. “A study of coherence in entity linking.” 2018. Web. 15 Jul 2019.

Vancouver:

Duncan C. A study of coherence in entity linking. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/102393.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Duncan C. A study of coherence in entity linking. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102393

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

2. Rozovskaya, Alla. Automated methods for correcting errors in grammar and usage.

Degree: MS, 0112, 2010, University of Illinois – Urbana-Champaign

 Over the last several decades, the number of electronic documents has increased dramatically. With the growing availability of computers, more and more people are using… (more)

Subjects/Keywords: Text correction; Correcting ESL mistakes; Errors in article usage; automated methods for correcting ESL mistakes; annotated ESL corpus; Error statistics; Features for article correction; English as a Second Language (ESL)

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APA (6th Edition):

Rozovskaya, A. (2010). Automated methods for correcting errors in grammar and usage. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/15967

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rozovskaya, Alla. “Automated methods for correcting errors in grammar and usage.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/15967.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rozovskaya, Alla. “Automated methods for correcting errors in grammar and usage.” 2010. Web. 15 Jul 2019.

Vancouver:

Rozovskaya A. Automated methods for correcting errors in grammar and usage. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/15967.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rozovskaya A. Automated methods for correcting errors in grammar and usage. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/15967

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Pekcan, Onur. Development of machine learning based speaker recognition system.

Degree: MS, 0112, 2010, University of Illinois – Urbana-Champaign

 In this thesis, we describe a biometric authentication system that is capable of recognizing its users??? voice using advanced machine learning and digital signal processing… (more)

Subjects/Keywords: Speaker Recognition; Speaker Verification; Speaker Identification; Biometrics; Voice Activity Detection; Machine Learning; Support Vector Machine; Artificial Neural Network; Hardware; Software

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APA (6th Edition):

Pekcan, O. (2010). Development of machine learning based speaker recognition system. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16226

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pekcan, Onur. “Development of machine learning based speaker recognition system.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/16226.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pekcan, Onur. “Development of machine learning based speaker recognition system.” 2010. Web. 15 Jul 2019.

Vancouver:

Pekcan O. Development of machine learning based speaker recognition system. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/16226.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pekcan O. Development of machine learning based speaker recognition system. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16226

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

4. Jiang, Yiming. Improvements and augmentations to Learning Based Java: a Java based learning based programming language.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 Machine Learning (ML) is the science that enables computers with the ability to learn without being explicitly programmed. ML is so pervasive today, with applications… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Jiang, Y. (2016). Improvements and augmentations to Learning Based Java: a Java based learning based programming language. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90827

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jiang, Yiming. “Improvements and augmentations to Learning Based Java: a Java based learning based programming language.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/90827.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jiang, Yiming. “Improvements and augmentations to Learning Based Java: a Java based learning based programming language.” 2016. Web. 15 Jul 2019.

Vancouver:

Jiang Y. Improvements and augmentations to Learning Based Java: a Java based learning based programming language. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/90827.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jiang Y. Improvements and augmentations to Learning Based Java: a Java based learning based programming language. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90827

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

5. Ratinov, Lev. Exploiting knowledge in NLP.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 In recent decades, the society depends more and more on computers for a large number of tasks. The first steps in NLP applications involve identification… (more)

Subjects/Keywords: Machine Learning; Natural language processing (NLP); Text Classification; Co-reference Resolution; Concept Disambiguation; Information Extraction; Named Entity Recognition; Semi-Supervised Learning.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ratinov, L. (2012). Exploiting knowledge in NLP. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31198

Chicago Manual of Style (16th Edition):

Ratinov, Lev. “Exploiting knowledge in NLP.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/31198.

MLA Handbook (7th Edition):

Ratinov, Lev. “Exploiting knowledge in NLP.” 2012. Web. 15 Jul 2019.

Vancouver:

Ratinov L. Exploiting knowledge in NLP. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/31198.

Council of Science Editors:

Ratinov L. Exploiting knowledge in NLP. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31198


University of Illinois – Urbana-Champaign

6. Chang, Ming-Wei. Structured prediction with indirect supervision.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 Structured tasks, which often involve many interdependent decisions for each example, are the backbone for many important applications such as natural language processing tasks. The… (more)

Subjects/Keywords: Machine learning; natural language processing; structural learning; indirect supervision; constraint driven learning

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APA (6th Edition):

Chang, M. (2012). Structured prediction with indirect supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29768

Chicago Manual of Style (16th Edition):

Chang, Ming-Wei. “Structured prediction with indirect supervision.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/29768.

MLA Handbook (7th Edition):

Chang, Ming-Wei. “Structured prediction with indirect supervision.” 2012. Web. 15 Jul 2019.

Vancouver:

Chang M. Structured prediction with indirect supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/29768.

Council of Science Editors:

Chang M. Structured prediction with indirect supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29768


University of Illinois – Urbana-Champaign

7. Rozovskaya, Alla. Automated methods for text correction.

Degree: PhD, 0301 0301, 2014, University of Illinois – Urbana-Champaign

 Development of automatic text correction systems has a long history in natural language processing research. This thesis considers the problem of correcting writing mistakes made… (more)

Subjects/Keywords: text correction; grammatical error correction; English as a second language (ESL) error correction; automated methods for text correction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rozovskaya, A. (2014). Automated methods for text correction. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46875

Chicago Manual of Style (16th Edition):

Rozovskaya, Alla. “Automated methods for text correction.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/46875.

MLA Handbook (7th Edition):

Rozovskaya, Alla. “Automated methods for text correction.” 2014. Web. 15 Jul 2019.

Vancouver:

Rozovskaya A. Automated methods for text correction. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/46875.

Council of Science Editors:

Rozovskaya A. Automated methods for text correction. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46875


University of Illinois – Urbana-Champaign

8. Tsai, Chen-Tse. Concept and entity grounding using indirect supervision.

Degree: PhD, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Extracting and disambiguating entities and concepts is a crucial step toward understanding natural language text. In this thesis, we consider the problem of grounding concepts… (more)

Subjects/Keywords: Wikification; Entity linking; Cross-lingual wikification; Named entity recognition; Indirect supervision; Incidental supervision; Entity disambiguation; Concept disambiguation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsai, C. (2017). Concept and entity grounding using indirect supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98336

Chicago Manual of Style (16th Edition):

Tsai, Chen-Tse. “Concept and entity grounding using indirect supervision.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/98336.

MLA Handbook (7th Edition):

Tsai, Chen-Tse. “Concept and entity grounding using indirect supervision.” 2017. Web. 15 Jul 2019.

Vancouver:

Tsai C. Concept and entity grounding using indirect supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/98336.

Council of Science Editors:

Tsai C. Concept and entity grounding using indirect supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98336


University of Illinois – Urbana-Champaign

9. Klementiev, Alexandre A. Learning with Incidental Supervision.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Recent technological advances have facilitated the collection and distribution of a plethora of increasingly diverse and complex data. Supervised learning has been able to provide… (more)

Subjects/Keywords: machine learning; natural language processing; prediction aggregation

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APA (6th Edition):

Klementiev, A. A. (2010). Learning with Incidental Supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14553

Chicago Manual of Style (16th Edition):

Klementiev, Alexandre A. “Learning with Incidental Supervision.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/14553.

MLA Handbook (7th Edition):

Klementiev, Alexandre A. “Learning with Incidental Supervision.” 2010. Web. 15 Jul 2019.

Vancouver:

Klementiev AA. Learning with Incidental Supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/14553.

Council of Science Editors:

Klementiev AA. Learning with Incidental Supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14553


University of Illinois – Urbana-Champaign

10. Pasternack, Jeffrey. Knowing Who to Trust and What to Believe in the Presence of Conflicting Information.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 The Information Age has created an increasing abundance of data and has, thanks to the rise of the Internet, made that knowledge instantly available to… (more)

Subjects/Keywords: trust; trustworthiness; information trustworthiness; information trust; comprehensive trust metrics; subjective truth; fact-finders; fact-finding; factfinders; factfinding; generalized fact-finding; generalized fact-finders; constrained fact-finding; constrained fact-finders; Generalized Constrained Models (GCMs); latent trust analysis; latent trustworthiness analysis; Latent Trust Analysis (LTA); belief; information filtering; structured learning; constrained structured learning; constrained learning

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APA (6th Edition):

Pasternack, J. (2012). Knowing Who to Trust and What to Believe in the Presence of Conflicting Information. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29516

Chicago Manual of Style (16th Edition):

Pasternack, Jeffrey. “Knowing Who to Trust and What to Believe in the Presence of Conflicting Information.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/29516.

MLA Handbook (7th Edition):

Pasternack, Jeffrey. “Knowing Who to Trust and What to Believe in the Presence of Conflicting Information.” 2012. Web. 15 Jul 2019.

Vancouver:

Pasternack J. Knowing Who to Trust and What to Believe in the Presence of Conflicting Information. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/29516.

Council of Science Editors:

Pasternack J. Knowing Who to Trust and What to Believe in the Presence of Conflicting Information. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29516


University of Illinois – Urbana-Champaign

11. Lai, Alice Yingming. Textual entailment from image caption denotations.

Degree: PhD, Computer Science, 2018, University of Illinois – Urbana-Champaign

 Understanding the meaning of linguistic expressions is a fundamental task of natural language processing. While distributed representations have become a powerful technique for modeling lexical… (more)

Subjects/Keywords: textual entailment; semantic representations; natural language processing

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APA (6th Edition):

Lai, A. Y. (2018). Textual entailment from image caption denotations. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102460

Chicago Manual of Style (16th Edition):

Lai, Alice Yingming. “Textual entailment from image caption denotations.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/102460.

MLA Handbook (7th Edition):

Lai, Alice Yingming. “Textual entailment from image caption denotations.” 2018. Web. 15 Jul 2019.

Vancouver:

Lai AY. Textual entailment from image caption denotations. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/102460.

Council of Science Editors:

Lai AY. Textual entailment from image caption denotations. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102460


University of Illinois – Urbana-Champaign

12. Hajishirzi, Hannaneh. Action-centered reasoning for probabilistic dynamic domains.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 This dissertation focuses on modeling stochastic dynamic domains, using representations and algorithms that combine logical AI ideas and probabilistic methods. We introduce new tractable and… (more)

Subjects/Keywords: Probabilistic reasoning; Action theories; Statistical Relational Models; Narrative Understanding; Web Monitoring

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APA (6th Edition):

Hajishirzi, H. (2012). Action-centered reasoning for probabilistic dynamic domains. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29669

Chicago Manual of Style (16th Edition):

Hajishirzi, Hannaneh. “Action-centered reasoning for probabilistic dynamic domains.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/29669.

MLA Handbook (7th Edition):

Hajishirzi, Hannaneh. “Action-centered reasoning for probabilistic dynamic domains.” 2012. Web. 15 Jul 2019.

Vancouver:

Hajishirzi H. Action-centered reasoning for probabilistic dynamic domains. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/29669.

Council of Science Editors:

Hajishirzi H. Action-centered reasoning for probabilistic dynamic domains. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29669


University of Illinois – Urbana-Champaign

13. Sorokin, Alexander. Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 The mission of machine learning is to empower computers to make generalizations from available data: labeled and unlabeled. The more labeled data we have the… (more)

Subjects/Keywords: crowdsourcing; computer vision; robotics; semi-supervised learning; object recognition; human activity recognition; sensor networks

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APA (6th Edition):

Sorokin, A. (2012). Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29722

Chicago Manual of Style (16th Edition):

Sorokin, Alexander. “Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/29722.

MLA Handbook (7th Edition):

Sorokin, Alexander. “Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision.” 2012. Web. 15 Jul 2019.

Vancouver:

Sorokin A. Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/29722.

Council of Science Editors:

Sorokin A. Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29722


University of Illinois – Urbana-Champaign

14. Connor, Michael. Minimal supervision for language learning: bootstrapping global patterns from local knowledge.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 A fundamental step in sentence comprehension involves assigning semantic roles to sentence constituents. To accomplish this, the listener must parse the sentence, find constituents that… (more)

Subjects/Keywords: Machine Learning; Natural Language Processing; Language acquisition; Psycholinguistics

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APA (6th Edition):

Connor, M. (2012). Minimal supervision for language learning: bootstrapping global patterns from local knowledge. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29824

Chicago Manual of Style (16th Edition):

Connor, Michael. “Minimal supervision for language learning: bootstrapping global patterns from local knowledge.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/29824.

MLA Handbook (7th Edition):

Connor, Michael. “Minimal supervision for language learning: bootstrapping global patterns from local knowledge.” 2012. Web. 15 Jul 2019.

Vancouver:

Connor M. Minimal supervision for language learning: bootstrapping global patterns from local knowledge. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/29824.

Council of Science Editors:

Connor M. Minimal supervision for language learning: bootstrapping global patterns from local knowledge. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29824


University of Illinois – Urbana-Champaign

15. Choi, Jaesik. Lifted Inference for Relational Hybrid Models.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 Probabilistic Graphical Models (PGMs) promise to play a prominent role in many complex real-world systems. Probabilistic Relational Graphical Models (PRGMs) scale the representation and learning… (more)

Subjects/Keywords: Probabilistic Graphical Models; Relational Hybrid Models; Lifted Inference; First-Order Probabilistic Models; Probabilistic Logic; Kalman filter; Relational Kalman filter; Variational Learning, Markov Logic Networks

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APA (6th Edition):

Choi, J. (2012). Lifted Inference for Relational Hybrid Models. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32004

Chicago Manual of Style (16th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/32004.

MLA Handbook (7th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Web. 15 Jul 2019.

Vancouver:

Choi J. Lifted Inference for Relational Hybrid Models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/32004.

Council of Science Editors:

Choi J. Lifted Inference for Relational Hybrid Models. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32004


University of Illinois – Urbana-Champaign

16. Wang, Chi. Mining latent entity structures from massive unstructured and interconnected data.

Degree: PhD, 0112, 2015, University of Illinois – Urbana-Champaign

 The “big data” era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media,… (more)

Subjects/Keywords: data mining; text mining; information network; social network; network analysis; probabilistic graphical model; topic model; phrase mining; relation mining; Information Extraction

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APA (6th Edition):

Wang, C. (2015). Mining latent entity structures from massive unstructured and interconnected data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72967

Chicago Manual of Style (16th Edition):

Wang, Chi. “Mining latent entity structures from massive unstructured and interconnected data.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/72967.

MLA Handbook (7th Edition):

Wang, Chi. “Mining latent entity structures from massive unstructured and interconnected data.” 2015. Web. 15 Jul 2019.

Vancouver:

Wang C. Mining latent entity structures from massive unstructured and interconnected data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/72967.

Council of Science Editors:

Wang C. Mining latent entity structures from massive unstructured and interconnected data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72967


University of Illinois – Urbana-Champaign

17. Bisk, Yonatan Yitzhak. Unsupervised grammar induction with Combinatory Categorial Grammars.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 Language is a highly structured medium for communication. An idea starts in the speaker's mind (semantics) and is transformed into a well formed, intelligible, sentence… (more)

Subjects/Keywords: Combinatory Categorial Grammar (CCG); Grammar Induction; Unsupervised Methods

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APA (6th Edition):

Bisk, Y. Y. (2015). Unsupervised grammar induction with Combinatory Categorial Grammars. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/89027

Chicago Manual of Style (16th Edition):

Bisk, Yonatan Yitzhak. “Unsupervised grammar induction with Combinatory Categorial Grammars.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/89027.

MLA Handbook (7th Edition):

Bisk, Yonatan Yitzhak. “Unsupervised grammar induction with Combinatory Categorial Grammars.” 2015. Web. 15 Jul 2019.

Vancouver:

Bisk YY. Unsupervised grammar induction with Combinatory Categorial Grammars. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/89027.

Council of Science Editors:

Bisk YY. Unsupervised grammar induction with Combinatory Categorial Grammars. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/89027


University of Illinois – Urbana-Champaign

18. Duan, Huizhong. Intent modeling and automatic query reformulation for search engine systems.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Understanding and modeling users' intent in search queries is an important topic in studying search engine systems. Good understanding of search intent is required in… (more)

Subjects/Keywords: search intent; query reformulation

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APA (6th Edition):

Duan, H. (2014). Intent modeling and automatic query reformulation for search engine systems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46834

Chicago Manual of Style (16th Edition):

Duan, Huizhong. “Intent modeling and automatic query reformulation for search engine systems.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/46834.

MLA Handbook (7th Edition):

Duan, Huizhong. “Intent modeling and automatic query reformulation for search engine systems.” 2014. Web. 15 Jul 2019.

Vancouver:

Duan H. Intent modeling and automatic query reformulation for search engine systems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/46834.

Council of Science Editors:

Duan H. Intent modeling and automatic query reformulation for search engine systems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46834


University of Illinois – Urbana-Champaign

19. Sondhi, Parikshit. Autonomous agents for serving complex information needs.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Over the past few decades two prominent paradigms for information seeking in the form of search engines and recommendation systems have been developed. However neither… (more)

Subjects/Keywords: Autonomous agents; complex information needs; forum search; case retrieval; question answering; reliability; knowledge-based Question Resolution (kbqr)

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APA (6th Edition):

Sondhi, P. (2014). Autonomous agents for serving complex information needs. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46907

Chicago Manual of Style (16th Edition):

Sondhi, Parikshit. “Autonomous agents for serving complex information needs.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/46907.

MLA Handbook (7th Edition):

Sondhi, Parikshit. “Autonomous agents for serving complex information needs.” 2014. Web. 15 Jul 2019.

Vancouver:

Sondhi P. Autonomous agents for serving complex information needs. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/46907.

Council of Science Editors:

Sondhi P. Autonomous agents for serving complex information needs. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46907


University of Illinois – Urbana-Champaign

20. Guo, Ruiqi. Scene understanding with complete scenes and structured representations.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Humans can understand scenes with abundant detail: they see layouts, surfaces, the shape of objects among other details. By contrast, many machine-based scene analysis algorithms… (more)

Subjects/Keywords: Scene Understanding; Computer Vision; Machine Learning; Computer Graphics; Image Parsing; Image Segmentation; RGB-D images

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APA (6th Edition):

Guo, R. (2014). Scene understanding with complete scenes and structured representations. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50564

Chicago Manual of Style (16th Edition):

Guo, Ruiqi. “Scene understanding with complete scenes and structured representations.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/50564.

MLA Handbook (7th Edition):

Guo, Ruiqi. “Scene understanding with complete scenes and structured representations.” 2014. Web. 15 Jul 2019.

Vancouver:

Guo R. Scene understanding with complete scenes and structured representations. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/50564.

Council of Science Editors:

Guo R. Scene understanding with complete scenes and structured representations. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50564


University of Illinois – Urbana-Champaign

21. Wang, Hongning. Computational user intent modeling.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 User modeling is essential for any information service system (e.g., search engines, recommender systems, and computational advertising) to optimize its service to the end users.… (more)

Subjects/Keywords: User modeling; Opinion mining; Search log analysis; Search personalization; Latent structural model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, H. (2014). Computational user intent modeling. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50572

Chicago Manual of Style (16th Edition):

Wang, Hongning. “Computational user intent modeling.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/50572.

MLA Handbook (7th Edition):

Wang, Hongning. “Computational user intent modeling.” 2014. Web. 15 Jul 2019.

Vancouver:

Wang H. Computational user intent modeling. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/50572.

Council of Science Editors:

Wang H. Computational user intent modeling. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50572


University of Illinois – Urbana-Champaign

22. Lim, Shiau Hong. Explanation-Based Feature Construction.

Degree: PhD, Computer Science, 2009, University of Illinois – Urbana-Champaign

 Incorporating additional information from our prior domain knowledge can be the key to solving difficult classification tasks, especially when the available training data is limited.… (more)

Subjects/Keywords: machine learning; feature construction; explanation-based learning; pattern recognition; handwriting recognition

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APA (6th Edition):

Lim, S. H. (2009). Explanation-Based Feature Construction. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/11753

Chicago Manual of Style (16th Edition):

Lim, Shiau Hong. “Explanation-Based Feature Construction.” 2009. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/11753.

MLA Handbook (7th Edition):

Lim, Shiau Hong. “Explanation-Based Feature Construction.” 2009. Web. 15 Jul 2019.

Vancouver:

Lim SH. Explanation-Based Feature Construction. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2009. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/11753.

Council of Science Editors:

Lim SH. Explanation-Based Feature Construction. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2009. Available from: http://hdl.handle.net/2142/11753


University of Illinois – Urbana-Champaign

23. Zhao, Bo. Truth finding in databases.

Degree: PhD, 0112, 2013, University of Illinois – Urbana-Champaign

 In practical data integration systems, it is common for the data sources being integrated to provide conflicting information about the same entity. Consequently, a major… (more)

Subjects/Keywords: data integration; truth finding; data fusion; data quality; entity matching; data mining; probabilistic graphical models

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APA (6th Edition):

Zhao, B. (2013). Truth finding in databases. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42470

Chicago Manual of Style (16th Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/42470.

MLA Handbook (7th Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Web. 15 Jul 2019.

Vancouver:

Zhao B. Truth finding in databases. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/42470.

Council of Science Editors:

Zhao B. Truth finding in databases. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42470


University of Illinois – Urbana-Champaign

24. Le, Hieu. Efficient data to decision pipelines for embedded and social sensing.

Degree: PhD, 0112, 2013, University of Illinois – Urbana-Champaign

 This dissertation presents results of our studies in making data to decision pipelines for embedded and social sensing efficient. Due to the pervasive presence of… (more)

Subjects/Keywords: Social Sensing; Data Distillation; Data to Decision; Big Data; Data Science

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APA (6th Edition):

Le, H. (2013). Efficient data to decision pipelines for embedded and social sensing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42487

Chicago Manual of Style (16th Edition):

Le, Hieu. “Efficient data to decision pipelines for embedded and social sensing.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/42487.

MLA Handbook (7th Edition):

Le, Hieu. “Efficient data to decision pipelines for embedded and social sensing.” 2013. Web. 15 Jul 2019.

Vancouver:

Le H. Efficient data to decision pipelines for embedded and social sensing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/42487.

Council of Science Editors:

Le H. Efficient data to decision pipelines for embedded and social sensing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42487


University of Illinois – Urbana-Champaign

25. Shirazi, Afsaneh H. Reasoning with models of probabilistic knowledge over probabilistic knowledge.

Degree: PhD, 0112, 2011, University of Illinois – Urbana-Champaign

 In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivotal role in their decisions. In many applications, this knowledge involves… (more)

Subjects/Keywords: Probabilistic Knowledge; Bayesian Networks; Modal Logic

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APA (6th Edition):

Shirazi, A. H. (2011). Reasoning with models of probabilistic knowledge over probabilistic knowledge. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24239

Chicago Manual of Style (16th Edition):

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/24239.

MLA Handbook (7th Edition):

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Web. 15 Jul 2019.

Vancouver:

Shirazi AH. Reasoning with models of probabilistic knowledge over probabilistic knowledge. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/24239.

Council of Science Editors:

Shirazi AH. Reasoning with models of probabilistic knowledge over probabilistic knowledge. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24239


University of Illinois – Urbana-Champaign

26. Ji, Ming. Semi-supervised learning and relevance search on networked data.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Real-world data entities are often connected by meaningful relationships, forming large-scale networks. With the rapid growth of social networks and online relational data, it is… (more)

Subjects/Keywords: Data Mining; Machine Learning; Semi-supervised Learning; Search; Heterogeneous Networks; Graphs

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APA (6th Edition):

Ji, M. (2014). Semi-supervised learning and relevance search on networked data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46856

Chicago Manual of Style (16th Edition):

Ji, Ming. “Semi-supervised learning and relevance search on networked data.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/46856.

MLA Handbook (7th Edition):

Ji, Ming. “Semi-supervised learning and relevance search on networked data.” 2014. Web. 15 Jul 2019.

Vancouver:

Ji M. Semi-supervised learning and relevance search on networked data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/46856.

Council of Science Editors:

Ji M. Semi-supervised learning and relevance search on networked data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46856


University of Illinois – Urbana-Champaign

27. Guzman Rivera, Abner. Multi-output structured learning.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Real-world applications of Machine Learning (ML) require modeling and reasoning about complex, heterogeneous and high-dimensional data. Probabilistic Inference and Structured-Output Prediction (SOP) are frameworks within… (more)

Subjects/Keywords: Structured Output Prediction; Structured Learning; Multi-Output Structured Learning; Multiple Outputs

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APA (6th Edition):

Guzman Rivera, A. (2014). Multi-output structured learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50456

Chicago Manual of Style (16th Edition):

Guzman Rivera, Abner. “Multi-output structured learning.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/50456.

MLA Handbook (7th Edition):

Guzman Rivera, Abner. “Multi-output structured learning.” 2014. Web. 15 Jul 2019.

Vancouver:

Guzman Rivera A. Multi-output structured learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/50456.

Council of Science Editors:

Guzman Rivera A. Multi-output structured learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50456


University of Illinois – Urbana-Champaign

28. Li, Yanen. A systematic study of multi-level query understanding.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Search and information retrieval technologies have significantly transformed the way people seek information and acquire knowledge from the internet. To further improve the search accuracy… (more)

Subjects/Keywords: Web Search; Query Understanding; Multi-Level Query Understanding; Query Spelling Correction; Query Segmentation; Query Semantics; Query Auto-Completion

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APA (6th Edition):

Li, Y. (2014). A systematic study of multi-level query understanding. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50592

Chicago Manual of Style (16th Edition):

Li, Yanen. “A systematic study of multi-level query understanding.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/50592.

MLA Handbook (7th Edition):

Li, Yanen. “A systematic study of multi-level query understanding.” 2014. Web. 15 Jul 2019.

Vancouver:

Li Y. A systematic study of multi-level query understanding. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/50592.

Council of Science Editors:

Li Y. A systematic study of multi-level query understanding. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50592


University of Illinois – Urbana-Champaign

29. Kantor, Arthur. Pronunciation modeling for large vocabulary speech recognition.

Degree: PhD, 0112, 2011, University of Illinois – Urbana-Champaign

 The large pronunciation variability of words in conversational speech is one of the major causes of low accuracy in automatic speech recognition (ASR). Many pronunciation… (more)

Subjects/Keywords: automatic speech recognition (ASR); Large-Vocabulary Continuous Speech Recognition (LVCSR); Pronunciation modeling; Conversational speech recognition

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APA (6th Edition):

Kantor, A. (2011). Pronunciation modeling for large vocabulary speech recognition. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18276

Chicago Manual of Style (16th Edition):

Kantor, Arthur. “Pronunciation modeling for large vocabulary speech recognition.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/18276.

MLA Handbook (7th Edition):

Kantor, Arthur. “Pronunciation modeling for large vocabulary speech recognition.” 2011. Web. 15 Jul 2019.

Vancouver:

Kantor A. Pronunciation modeling for large vocabulary speech recognition. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/18276.

Council of Science Editors:

Kantor A. Pronunciation modeling for large vocabulary speech recognition. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18276


University of Illinois – Urbana-Champaign

30. Bhat, Suma P. Estimation problems in speech and natural language.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 This dissertation is a study of two problems on estimation in the areas of natural language and speech. In the first problem we revisit the… (more)

Subjects/Keywords: Vocabulary Size Estimation; Estimation of the number of unseen events; Automatic Fluency Assessment; Variable Selection; Predictors of Oral Fluency; Click-Through Rate Prediction

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APA (6th Edition):

Bhat, S. P. (2010). Estimation problems in speech and natural language. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16031

Chicago Manual of Style (16th Edition):

Bhat, Suma P. “Estimation problems in speech and natural language.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/16031.

MLA Handbook (7th Edition):

Bhat, Suma P. “Estimation problems in speech and natural language.” 2010. Web. 15 Jul 2019.

Vancouver:

Bhat SP. Estimation problems in speech and natural language. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/16031.

Council of Science Editors:

Bhat SP. Estimation problems in speech and natural language. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16031

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