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Unsupervised learning
Results: 431

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41	Supervised and unsupervised learning in phonetic adaptation Dave F. Kleinschmidt1 , Rajeev Raizada1 , and T. Florian Jaeger1,2,3 1 Department {dkleinschmidt, raizada, fjeager} @ bcs.rochester.edu of Brain and Cognitive S Add to Reading List Source URL: mindmodeling.org Language: English - Date: 2015-07-27 15:58:32 Machine learning Cognition Linguistics Cognitive science Human communication Phonetics Semantics Semi-supervised learning Speech perception Word-sense disambiguation Supervised learning Categorization
42	TUKE MediaEval 2012: Spoken Web Search using DTW and Unsupervised SVM Jozef Vavrek Matúš Pleva Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-10-08 15:13:04 Statistical classification Support vector machine Dynamic time warping Statistics Learning Artificial intelligence
43	Microsoft Word - articuloPoster2 Add to Reading List Source URL: www.kelluwen.cl Language: English - Date: 2014-12-29 18:13:00 Computing Statistics Learning Cluster analysis Data mining Geostatistics Multivariate statistics Unsupervised learning Computer cluster Teacher Data analysis K-means clustering
44	Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences To appear in: Proc. of the Fifteenth International Conference on the Synthesis and Simulation of Living System Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2016-04-27 14:27:24 Computational neuroscience Neuroscience Artificial neural networks Cybernetics Cognition Machine learning Computational statistics Hebbian theory Autoencoder Deep learning Feature learning Unsupervised learning
45	Self-organizing map in Matlab: the SOM Toolbox Juha Vesanto, Johan Himberg, Esa Alhoniemi and Juha Parhankangas Laboratory of Computer and Information Science, Helsinki University of Technology, Finland Abstract The Sel Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2000-10-09 05:53:25 Software Application software Mathematical software Artificial neural networks Array programming languages Machine learning Dimension reduction Self-organizing map Cross-platform software MATLAB Unsupervised learning U-matrix
46	Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions Chenxia Wu1 , Jiemi Zhang2 , Bart Selman3 , Silvio Savarese4 and Ashutosh Saxena5 Abstract— We present a robotic system that watches a human us Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2016-04-30 19:09:08 Humancomputer interaction Artificial intelligence Computing Conference on Computer Vision and Pattern Recognition Image segmentation Kinect Causality Computer vision Latent Dirichlet allocation Humanrobot interaction
47	Unsupervised Machine Learning Joris de Ruiter, derdejaars AI student aan de VU () Maarten Keijzer is onderzoeker op het gebied van Machine Learing. Zijn onderzoek is met name gericht op het toepassen va Add to Reading List Source URL: www.deconnectie.com Language: Dutch - Date: 2008-10-16 19:45:55
48	Fully Unsupervised Small-Vocabulary Speech Recognition Using a Segmental Bayesian Model Herman Kamper1,2 , Aren Jansen3 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh, UK Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Statistics Machine learning Artificial intelligence Statistical models Markov models Language modeling Computational linguistics Mixture model Word embedding Image segmentation Hidden Markov model Speech recognition
49	Unsupervised Learning with Optimal Kernels Sepp Hochreiter and Klaus Obermayer Technische Universit¨at Berlin Abstract We investigate the optimal kernel for sample-based model selection in unsupervised learning if maxim Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:37:15 Machine learning Nonparametric statistics Time series analysis Estimation theory Kernel density estimation Sepp Hochreiter Supervised learning Linux kernel Kernel Estimator
50	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function

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