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Machine learning
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#	Item
481	Curriculum Vitæ Douglas Eck Research Scientist, Music and Machine Learning Google, Mountain View CA, USA Contact Add to Reading List Source URL: www.iro.umontreal.ca Language: English - Date: 2011-04-14 12:27:48 Machine learning Computational neuroscience Artificial intelligence Neuroscience Deep learning Conference on Neural Information Processing Systems Artificial neural network Yoshua Bengio Eck Long short-term memory Speech recognition
482	Microsoft Word - Shashua.doc Add to Reading List Source URL: svg.dmi.unict.it Language: English - Date: 2012-03-30 18:34:51 Amnon Shashua Machine learning Statistical classification
483	EFFICIENT INITIALIZATION OF MIXTURES OF EXPERTS FOR HUMAN POSE ESTIMATION Huazhong Ning, Yuxiao Hu, Thomas Huang ECE Department, U. of Illinois at Urbana-Champaign, Urbana, IL 61801. {hning2,hu3, huang}@ifp.uiuc.edu ABS Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2008-01-22 16:26:01 Statistics Applied mathematics Machine learning Learning Expectationmaximization algorithm Pattern recognition Regression analysis Mixture model Artificial neural network Perceptron
484	MEMOCODE 2014 Design Contest: k-Nearest Neighbors with Mahalanobis Distance Metric Peter Milder Department of Electrical and Computer Engineering Stony Brook University Stony Brook, NY 11794–2350 Add to Reading List Source URL: www.ece.stonybrook.edu Language: English - Date: 2014-10-15 09:48:22 Statistics Data analysis Computing Search algorithms Covariance and correlation Multivariate statistics Machine learning Mahalanobis distance Statistical distance Xeon Nearest neighbor search K-nearest neighbors algorithm
485	MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Albert Bifet1 , Geoff Holmes1 , Bernhard Pfahringer1 , Philipp Kranen2 , Hardy Kremer2 , Timm Jansen2 , and Thomas Seidl2 1 Add to Reading List Source URL: moa.cs.waikato.ac.nz Language: English - Date: 2014-11-07 23:43:25 Data mining Statistics Computational statistics Software Machine learning Massive Online Analysis Cluster analysis Formal sciences Data stream mining K-means clustering Concept drift Weka
486	Decision Trees and Deep Networks for Pattern Classification Ananya Gupta University of Manchester Oxford Road, Manchester United Kingdom M13 9PL Add to Reading List Source URL: womencourage.acm.org Language: English - Date: 2016-08-09 09:13:48 Computational neuroscience Artificial neural networks Applied mathematics Cybernetics Cognitive science Formal sciences Artificial intelligence Convolutional neural network Deep learning MNIST database Machine learning Pattern recognition
487	Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings Bharathan Balaji† , Chetan Verma† , Balakrishnan Narayanaswamy† , Yuvraj Agarwal‡ † † Add to Reading List Source URL: mesl.ucsd.edu Language: English - Date: 2015-09-15 22:49:21 Machine learning Systems science Information technology Information Data management Business intelligence Knowledge representation Records management Hierarchical clustering Semi-supervised learning Building automation Control system
488	Paired Learners for Concept Drift Stephen H. Bach and Marcus A. Maloof Department of Computer Science Georgetown University Washington, DCUSA {bach, maloof}@cs.georgetown.edu Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:07 Cognition Neuropsychology Educational psychology Education Machine learning Learning Concept drift Data mining Ensemble learning
489	Efficient and Robust Automated Machine Learning Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2016-01-30 21:34:03 Artificial intelligence Statistics Machine learning Model selection Statistical classification Ensemble learning Hyperparameter optimization Mathematical optimization Support vector machine Boosting Deep learning Weka
490	STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper, Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-03-11 05:30:19 Markov models Machine learning Artificial intelligence Learning Computational linguistics Speech recognition software Computer accessibility Speech recognition Hidden Markov model Conditional random field Language model Image segmentation

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