Feature learning - PDFSEARCH.IO - Document Search Engine

Feature learning
Results: 920

#	Item
161	Special Session on Evolutionary Machine Learning for Image Analysis and Pattern Recognition Organisers:  Muhammad Iqbal School of Engineering and Computer Science, Victoria University of Wellington, New Zealand. Email Add to Reading List Source URL: www.ies-2016.org Language: English - Date: 2016-05-19 03:43:44 Machine learning Formal sciences Evolution Evolutionary computation Computer science Pattern recognition IEEE Transactions on Evolutionary Computation Statistical classification Feature extraction Book:Machine Learning The Complete Guide Outline of evolution
162	Feature Selection for Highly Skewed Sentiment Analysis Tasks Can Liu Indiana University Bloomington, IN, USA Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-07-28 17:16:46 Machine learning Statistical classification Dimension reduction Feature detection Natural language processing Binary classification Sentiment analysis Feature selection Rough set Naive Bayes classifier Accuracy and precision Feature extraction
163	Nowcasting Events from the Social Web with Statistical Learning VASILEIOS LAMPOS and NELLO CRISTIANINI, University of Bristol, UK We present a general methodology for inferring the occurrence and magnitude of an event or Add to Reading List Source URL: www.lampos.net Language: English - Date: 2013-12-12 21:06:10 Machine learning Statistical methods Econometrics Model selection Estimation theory Feature selection Lasso Supervised learning Bootstrapping Pattern recognition Least squares Linear regression
164	Dear Parents, Documenting learning and reflecting on the individual progress is a key feature of the BBIS culture – last week, we had two excellent examples of this in form of the very young children in Early Education Add to Reading List Source URL: www.bbis.de Language: English - Date: 2016-06-08 19:27:10 IB Middle Years Programme International Baccalaureate
165	Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships Mohit Iyyer,1 Anupam Guha,1 Snigdha Chaturvedi,1 Jordan Boyd-Graber,2 Hal Daum´e III1 1 University of Maryland, Department o Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2016-04-02 18:49:57 Feature detection Formal sciences Artificial neural networks Deep learning Topic model Word embedding Feature Statistics
166	PDF Document Add to Reading List Source URL: www.icdip.org Language: English - Date: 2016-06-21 06:36:18 Computer vision Feature detection Formal sciences Machine learning Image segmentation Image processing Pattern recognition Image analysis Artificial neural network Feature extraction Image registration Statistical classification
167	IEEE 18th International Conference on Intelligent Transportation Systems, To Appear Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset Mark P. Philipsen1,2 , Morten B. Jensen1,2 Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2015-08-13 17:38:49 Feature detection Pedestrian detection Intelligent transportation system Advanced driver assistance systems Speeded up robust features
168	LEARNING A FEATURE SPACE FOR SIMILARITY IN WORLD MUSIC Maria Panteli, Emmanouil Benetos, Simon Dixon Centre for Digital Music, Queen Mary University of London, United Kingdom {m.panteli, emmanouil.benetos, s.e.dixon}@qmu Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:29 Multivariate statistics Robust statistics Outlier K-nearest neighbors algorithm RANSAC Mahalanobis distance Non-negative matrix factorization Principal component analysis Linear discriminant analysis Music information retrieval Feature Data analysis
169	Statistical Inference, Learning and Models in Big Data Franke, Beate; Plante, Jean–François; Roscher, Ribana; Lee, Annie; Smyth, Cathal; Hatefi, Armin; Chen, Fuqi; Gil, Einat; Schwing, Alexander; Selvitella, Aless Add to Reading List Source URL: www.ipb.uni-bonn.de Language: English - Date: 2016-04-29 09:00:54 Machine learning Data management Multivariate statistics Big data Technology forecasting Transaction processing Feature learning Nonlinear dimensionality reduction
170	Published as a conference paper at ICLRM ULTI - TASK S EQUENCE TO S EQUENCE L EARNING Minh-Thang Luong∗, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser Google Brain ,{qvl,ilyasu,vin Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-01 20:44:46 Machine learning Computational linguistics Artificial neural networks Computational neuroscience Computer-assisted translation Feature learning Parsing Machine translation Neural machine translation Autoencoder Evaluation of machine translation Multi-task learning

UPDATE