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You searched for +publisher:"Universitetet i Tromsø" +contributor:("Jenssen, Robert"). Showing records 1 – 15 of 15 total matches.

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Universitetet i Tromsø

1. Blix, Katalin. Sensitivity analysis of Gaussian process machine learning for chlorophyll prediction from optical remote sensing .

Degree: 2014, Universitetet i Tromsø

 The machine learning method, Gaussian Process Regression (GPR), has lately been introduced for chlorophyll content mapping from remotely sensed data. It has been shown that… (more)

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430; VDP::Mathematics and natural science: 400::Physics: 430

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APA (6th Edition):

Blix, K. (2014). Sensitivity analysis of Gaussian process machine learning for chlorophyll prediction from optical remote sensing . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/6784

Chicago Manual of Style (16th Edition):

Blix, Katalin. “Sensitivity analysis of Gaussian process machine learning for chlorophyll prediction from optical remote sensing .” 2014. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/6784.

MLA Handbook (7th Edition):

Blix, Katalin. “Sensitivity analysis of Gaussian process machine learning for chlorophyll prediction from optical remote sensing .” 2014. Web. 18 Apr 2019.

Vancouver:

Blix K. Sensitivity analysis of Gaussian process machine learning for chlorophyll prediction from optical remote sensing . [Internet] [Masters thesis]. Universitetet i Tromsø 2014. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/6784.

Council of Science Editors:

Blix K. Sensitivity analysis of Gaussian process machine learning for chlorophyll prediction from optical remote sensing . [Masters Thesis]. Universitetet i Tromsø 2014. Available from: http://hdl.handle.net/10037/6784


Universitetet i Tromsø

2. Myhre, Jonas Nordhaug. Machine Learning using Principal Manifolds and Mode Seeking .

Degree: 2016, Universitetet i Tromsø

 A wide range of machine learning methods have taken advantage of density estimates and their derivatives, including methodology related to principal manifolds and mode seeking,… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Myhre, J. N. (2016). Machine Learning using Principal Manifolds and Mode Seeking . (Doctoral Dissertation). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/9921

Chicago Manual of Style (16th Edition):

Myhre, Jonas Nordhaug. “Machine Learning using Principal Manifolds and Mode Seeking .” 2016. Doctoral Dissertation, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/9921.

MLA Handbook (7th Edition):

Myhre, Jonas Nordhaug. “Machine Learning using Principal Manifolds and Mode Seeking .” 2016. Web. 18 Apr 2019.

Vancouver:

Myhre JN. Machine Learning using Principal Manifolds and Mode Seeking . [Internet] [Doctoral dissertation]. Universitetet i Tromsø 2016. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/9921.

Council of Science Editors:

Myhre JN. Machine Learning using Principal Manifolds and Mode Seeking . [Doctoral Dissertation]. Universitetet i Tromsø 2016. Available from: http://hdl.handle.net/10037/9921


Universitetet i Tromsø

3. Løkse, Sigurd. Joint ranking and clustering based on Markov Chain transition probabilities learned from data .

Degree: 2014, Universitetet i Tromsø

 The focus of this thesis is to develop a Markov Chain based framework for joint ranking and clustering of a dataset without the need for… (more)

Subjects/Keywords: VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429

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APA (6th Edition):

Løkse, S. (2014). Joint ranking and clustering based on Markov Chain transition probabilities learned from data . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/11107

Chicago Manual of Style (16th Edition):

Løkse, Sigurd. “Joint ranking and clustering based on Markov Chain transition probabilities learned from data .” 2014. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/11107.

MLA Handbook (7th Edition):

Løkse, Sigurd. “Joint ranking and clustering based on Markov Chain transition probabilities learned from data .” 2014. Web. 18 Apr 2019.

Vancouver:

Løkse S. Joint ranking and clustering based on Markov Chain transition probabilities learned from data . [Internet] [Masters thesis]. Universitetet i Tromsø 2014. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/11107.

Council of Science Editors:

Løkse S. Joint ranking and clustering based on Markov Chain transition probabilities learned from data . [Masters Thesis]. Universitetet i Tromsø 2014. Available from: http://hdl.handle.net/10037/11107


Universitetet i Tromsø

4. Vikjord, Vidar Vangen. Information theoretic learning with K nearest neighbors : a new clustering algorithm .

Degree: 2012, Universitetet i Tromsø

 The machine learning field based on information theory has received a lot of attention in recent years. Through kernel estimation of the probability density functions,… (more)

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Kunnskapsbaserte systemer: 425; VDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425

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APA (6th Edition):

Vikjord, V. V. (2012). Information theoretic learning with K nearest neighbors : a new clustering algorithm . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/4608

Chicago Manual of Style (16th Edition):

Vikjord, Vidar Vangen. “Information theoretic learning with K nearest neighbors : a new clustering algorithm .” 2012. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/4608.

MLA Handbook (7th Edition):

Vikjord, Vidar Vangen. “Information theoretic learning with K nearest neighbors : a new clustering algorithm .” 2012. Web. 18 Apr 2019.

Vancouver:

Vikjord VV. Information theoretic learning with K nearest neighbors : a new clustering algorithm . [Internet] [Masters thesis]. Universitetet i Tromsø 2012. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/4608.

Council of Science Editors:

Vikjord VV. Information theoretic learning with K nearest neighbors : a new clustering algorithm . [Masters Thesis]. Universitetet i Tromsø 2012. Available from: http://hdl.handle.net/10037/4608


Universitetet i Tromsø

5. Agersborg, Jørgen Andreas. Mean shift spectral clustering using kernel entropy component analysis .

Degree: 2012, Universitetet i Tromsø

 Clustering is an unsupervised pattern recognition technique for finding natural groups in data, whether it is a grouping of web pages found by a search… (more)

Subjects/Keywords: VDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Kunnskapsbaserte systemer: 425

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APA (6th Edition):

Agersborg, J. A. (2012). Mean shift spectral clustering using kernel entropy component analysis . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/4610

Chicago Manual of Style (16th Edition):

Agersborg, Jørgen Andreas. “Mean shift spectral clustering using kernel entropy component analysis .” 2012. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/4610.

MLA Handbook (7th Edition):

Agersborg, Jørgen Andreas. “Mean shift spectral clustering using kernel entropy component analysis .” 2012. Web. 18 Apr 2019.

Vancouver:

Agersborg JA. Mean shift spectral clustering using kernel entropy component analysis . [Internet] [Masters thesis]. Universitetet i Tromsø 2012. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/4610.

Council of Science Editors:

Agersborg JA. Mean shift spectral clustering using kernel entropy component analysis . [Masters Thesis]. Universitetet i Tromsø 2012. Available from: http://hdl.handle.net/10037/4610


Universitetet i Tromsø

6. Myhre, Jonas Nordhaug. Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO.

Degree: 2011, Universitetet i Tromsø

 In this thesis we present a new semi-supervised classification technique based on the Kernel Entropy Component Analysis (KECA) transformation and the least absolute shrinkage selection… (more)

Subjects/Keywords: Kernel Entropy Component Analysis, information theoretic learning, semi-supervised learning, LASSO, linear classification, data transformation, machine learning, pattern recognition; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429

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APA (6th Edition):

Myhre, J. N. (2011). Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO. (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/3992

Chicago Manual of Style (16th Edition):

Myhre, Jonas Nordhaug. “Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO. ” 2011. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/3992.

MLA Handbook (7th Edition):

Myhre, Jonas Nordhaug. “Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO. ” 2011. Web. 18 Apr 2019.

Vancouver:

Myhre JN. Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO. [Internet] [Masters thesis]. Universitetet i Tromsø 2011. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/3992.

Council of Science Editors:

Myhre JN. Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO. [Masters Thesis]. Universitetet i Tromsø 2011. Available from: http://hdl.handle.net/10037/3992


Universitetet i Tromsø

7. Mikalsen, Karl Øyvind. Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare .

Degree: 2019, Universitetet i Tromsø

 In healthcare, vast amounts of data are stored digitally in the electronic health records (EHRs). EHRs represent a largely untapped source of clinically relevant information,… (more)

Subjects/Keywords: Machine Learning; VDP::Technology: 500::Medical technology: 620; VDP::Teknologi: 500::Medisinsk teknologi: 620

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APA (6th Edition):

Mikalsen, K. . (2019). Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare . (Doctoral Dissertation). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/14659

Chicago Manual of Style (16th Edition):

Mikalsen, Karl Øyvind. “Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare .” 2019. Doctoral Dissertation, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/14659.

MLA Handbook (7th Edition):

Mikalsen, Karl Øyvind. “Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare .” 2019. Web. 18 Apr 2019.

Vancouver:

Mikalsen K. Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare . [Internet] [Doctoral dissertation]. Universitetet i Tromsø 2019. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/14659.

Council of Science Editors:

Mikalsen K. Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare . [Doctoral Dissertation]. Universitetet i Tromsø 2019. Available from: http://hdl.handle.net/10037/14659


Universitetet i Tromsø

8. Björk, Sara Maria. An initial assessment of the possibilities of fish catch prediction using Gaussian processes .

Degree: 2016, Universitetet i Tromsø

 The fishing and aquaculture industry is one of the largest industries of Norway. Enhanced knowledge of the distribution of fish in the ocean is important… (more)

Subjects/Keywords: VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413; VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411; VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412

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APA (6th Edition):

Björk, S. M. (2016). An initial assessment of the possibilities of fish catch prediction using Gaussian processes . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/11792

Chicago Manual of Style (16th Edition):

Björk, Sara Maria. “An initial assessment of the possibilities of fish catch prediction using Gaussian processes .” 2016. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/11792.

MLA Handbook (7th Edition):

Björk, Sara Maria. “An initial assessment of the possibilities of fish catch prediction using Gaussian processes .” 2016. Web. 18 Apr 2019.

Vancouver:

Björk SM. An initial assessment of the possibilities of fish catch prediction using Gaussian processes . [Internet] [Masters thesis]. Universitetet i Tromsø 2016. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/11792.

Council of Science Editors:

Björk SM. An initial assessment of the possibilities of fish catch prediction using Gaussian processes . [Masters Thesis]. Universitetet i Tromsø 2016. Available from: http://hdl.handle.net/10037/11792


Universitetet i Tromsø

9. Wickstrøm, Kristoffer Knutsen. Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation.

Degree: 2018, Universitetet i Tromsø

 Colorectal cancer is one of the leading causes of cancer-related deaths worldwide, with prevention commonly done through regular colonoscopy screenings. During a colonoscopy, physicians manually… (more)

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429

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APA (6th Edition):

Wickstrøm, K. K. (2018). Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation. (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/13552

Chicago Manual of Style (16th Edition):

Wickstrøm, Kristoffer Knutsen. “Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation. ” 2018. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/13552.

MLA Handbook (7th Edition):

Wickstrøm, Kristoffer Knutsen. “Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation. ” 2018. Web. 18 Apr 2019.

Vancouver:

Wickstrøm KK. Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation. [Internet] [Masters thesis]. Universitetet i Tromsø 2018. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/13552.

Council of Science Editors:

Wickstrøm KK. Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation. [Masters Thesis]. Universitetet i Tromsø 2018. Available from: http://hdl.handle.net/10037/13552


Universitetet i Tromsø

10. Choi, Changkyu. Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data .

Degree: 2018, Universitetet i Tromsø

 In many applications, time series forecasting plays an irreplaceable role in time-varying systems such as energy markets, financial markets, and so on. Predicting the dynamic… (more)

Subjects/Keywords: VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429; VDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Algoritmer og beregnbarhetsteori: 422; VDP::Mathematics and natural science: 400::Information and communication science: 420::Mathematical modeling and numerical methods: 427; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Matematisk modellering og numeriske metoder: 427

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APA (6th Edition):

Choi, C. (2018). Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/14887

Chicago Manual of Style (16th Edition):

Choi, Changkyu. “Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data .” 2018. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/14887.

MLA Handbook (7th Edition):

Choi, Changkyu. “Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data .” 2018. Web. 18 Apr 2019.

Vancouver:

Choi C. Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data . [Internet] [Masters thesis]. Universitetet i Tromsø 2018. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/14887.

Council of Science Editors:

Choi C. Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data . [Masters Thesis]. Universitetet i Tromsø 2018. Available from: http://hdl.handle.net/10037/14887


Universitetet i Tromsø

11. Foslid, Tobias Olsen. Dirichlet process cluster kernel .

Degree: 2017, Universitetet i Tromsø

 This thesis aims to apply the Dirichlet process mixture model to the cluster kernel framework. The probabilistic cluster kernel is extended with a Bayesian nonparametric… (more)

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412; VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412

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APA (6th Edition):

Foslid, T. O. (2017). Dirichlet process cluster kernel . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/11307

Chicago Manual of Style (16th Edition):

Foslid, Tobias Olsen. “Dirichlet process cluster kernel .” 2017. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/11307.

MLA Handbook (7th Edition):

Foslid, Tobias Olsen. “Dirichlet process cluster kernel .” 2017. Web. 18 Apr 2019.

Vancouver:

Foslid TO. Dirichlet process cluster kernel . [Internet] [Masters thesis]. Universitetet i Tromsø 2017. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/11307.

Council of Science Editors:

Foslid TO. Dirichlet process cluster kernel . [Masters Thesis]. Universitetet i Tromsø 2017. Available from: http://hdl.handle.net/10037/11307


Universitetet i Tromsø

12. Kåven, Ove Henrik. Investigating robot navigation in health care with the Giraff telepresence robot .

Degree: 2013, Universitetet i Tromsø

 The Norwegian public healthcare system will not have the manpower to care for the elderly at the same level as now, unless technological solutions are… (more)

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektronikk: 435; VDP::Mathematics and natural science: 400::Physics: 430::Electronics: 435; Maskinsyn; Computer vision; Helseteknologi; Technology in health care; Innendørs navigering; Indoor navigation; Robot

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APA (6th Edition):

Kåven, O. H. (2013). Investigating robot navigation in health care with the Giraff telepresence robot . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/5904

Chicago Manual of Style (16th Edition):

Kåven, Ove Henrik. “Investigating robot navigation in health care with the Giraff telepresence robot .” 2013. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/5904.

MLA Handbook (7th Edition):

Kåven, Ove Henrik. “Investigating robot navigation in health care with the Giraff telepresence robot .” 2013. Web. 18 Apr 2019.

Vancouver:

Kåven OH. Investigating robot navigation in health care with the Giraff telepresence robot . [Internet] [Masters thesis]. Universitetet i Tromsø 2013. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/5904.

Council of Science Editors:

Kåven OH. Investigating robot navigation in health care with the Giraff telepresence robot . [Masters Thesis]. Universitetet i Tromsø 2013. Available from: http://hdl.handle.net/10037/5904


Universitetet i Tromsø

13. Johansen, Thomas A. Haugland. On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs .

Degree: 2016, Universitetet i Tromsø

 The key objectives in this thesis are; the study of GPU-accelerated eigenvalue decomposition in an effort to uncover both benefits and pitfalls, and then to… (more)

Subjects/Keywords: VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412; VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413; VDP::Mathematics and natural science: 400::Information and communication science: 420::Mathematical modeling and numerical methods: 427; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Matematisk modellering og numeriske metoder: 427; VDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Algoritmer og beregnbarhetsteori: 422

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APA (6th Edition):

Johansen, T. A. H. (2016). On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/10450

Chicago Manual of Style (16th Edition):

Johansen, Thomas A Haugland. “On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs .” 2016. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/10450.

MLA Handbook (7th Edition):

Johansen, Thomas A Haugland. “On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs .” 2016. Web. 18 Apr 2019.

Vancouver:

Johansen TAH. On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs . [Internet] [Masters thesis]. Universitetet i Tromsø 2016. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/10450.

Council of Science Editors:

Johansen TAH. On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs . [Masters Thesis]. Universitetet i Tromsø 2016. Available from: http://hdl.handle.net/10037/10450

14. Kampffmeyer, Michael Christian. Parallelization of the Alternating-Least-Squares Algorithm With Weighted Regularization for Efficient GPU Execution in Recommender Systems .

Degree: 2015, Universitetet i Tromsø

 Collaborative filtering recommender systems have become essential to many Internet services, providing, for instance, book recommendations at Amazon's online e-commerce service, music recommendation in Spotify… (more)

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413; VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Algoritmer og beregnbarhetsteori: 422; VDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422

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APA (6th Edition):

Kampffmeyer, M. C. (2015). Parallelization of the Alternating-Least-Squares Algorithm With Weighted Regularization for Efficient GPU Execution in Recommender Systems . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/7987

Chicago Manual of Style (16th Edition):

Kampffmeyer, Michael Christian. “Parallelization of the Alternating-Least-Squares Algorithm With Weighted Regularization for Efficient GPU Execution in Recommender Systems .” 2015. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/7987.

MLA Handbook (7th Edition):

Kampffmeyer, Michael Christian. “Parallelization of the Alternating-Least-Squares Algorithm With Weighted Regularization for Efficient GPU Execution in Recommender Systems .” 2015. Web. 18 Apr 2019.

Vancouver:

Kampffmeyer MC. Parallelization of the Alternating-Least-Squares Algorithm With Weighted Regularization for Efficient GPU Execution in Recommender Systems . [Internet] [Masters thesis]. Universitetet i Tromsø 2015. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/7987.

Council of Science Editors:

Kampffmeyer MC. Parallelization of the Alternating-Least-Squares Algorithm With Weighted Regularization for Efficient GPU Execution in Recommender Systems . [Masters Thesis]. Universitetet i Tromsø 2015. Available from: http://hdl.handle.net/10037/7987


Universitetet i Tromsø

15. Kvisle Storås, Ola. Information theoretic learning for pattern classification .

Degree: 2007, Universitetet i Tromsø

 This thesis is a study of pattern classification based on information theoretic criteria. Information theoretic criteria are important measures based on entropy and divergence between… (more)

Subjects/Keywords: VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; Information theoretic learning; Pattern classification

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

APA (6th Edition):

Kvisle Storås, O. (2007). Information theoretic learning for pattern classification . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/1773

Chicago Manual of Style (16th Edition):

Kvisle Storås, Ola. “Information theoretic learning for pattern classification .” 2007. Masters Thesis, Universitetet i Tromsø. Accessed April 18, 2019. http://hdl.handle.net/10037/1773.

MLA Handbook (7th Edition):

Kvisle Storås, Ola. “Information theoretic learning for pattern classification .” 2007. Web. 18 Apr 2019.

Vancouver:

Kvisle Storås O. Information theoretic learning for pattern classification . [Internet] [Masters thesis]. Universitetet i Tromsø 2007. [cited 2019 Apr 18]. Available from: http://hdl.handle.net/10037/1773.

Council of Science Editors:

Kvisle Storås O. Information theoretic learning for pattern classification . [Masters Thesis]. Universitetet i Tromsø 2007. Available from: http://hdl.handle.net/10037/1773

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