Handbook of Research on Organizational Transformations through Big Data Analytics Madjid Tavana La Salle University, USA

Source URL: www.bitstoenergy.ch

• Machine learning
• Statistical classification
• Support vector machine
• K-nearest neighbors algorithm
• Feature selection
• Ground truth
• Supervised learning
• Data analysis
• K-means clustering
• Energy industry

PROC. OF THE 14th PYTHON IN SCIENCE CONF. (SCIPYlibrosa: Audio and Music Signal Analysis in Python Brian McFee¶k∗ , Colin Raffel§ , Dawen Liang§ , Daniel P.W. Ellis§ , Matt McVicar‡ , Eric Battenberg∗

Source URL: bmcfee.github.io

• Timefrequency analysis
• Signal processing
• Music information retrieval
• Digital signal processing
• Fourier analysis
• Spectrogram
• Short-time Fourier transform
• Audio time-scale/pitch modification
• Chroma feature
• Transcription
• Timbre
• Deep learning

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng Computer Science Department and Department of Elec

Source URL: cs.stanford.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Machine learning
• Applied mathematics
• Cybernetics
• Computer vision
• Convolutional neural network
• Deep learning
• Feature detection
• Feature learning
• Supervised learning

Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector

Source URL: www.bitstoenergy.ch

• Regression analysis
• Statistical classification
• Econometrics
• Independence
• Machine learning
• Linear discriminant analysis
• Feature selection
• Linear regression
• Correlation and dependence
• Coefficient of determination
• Pattern recognition
• Support vector machine

Journal of Machine Learning Research2485 Submitted 4/12; Revised 3/13; Published 8/13 Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows

Source URL: jmlr.org

Journal of Machine Learning Research3622 Submitted 10/11; PublishedSVDFeature: A Toolkit for Feature-based Collaborative Filtering Tianqi Chen

Source URL: www0.cs.ucl.ac.uk

Journal of Machine Learning Research3622 Submitted 10/11; PublishedSVDFeature: A Toolkit for Feature-based Collaborative Filtering Tianqi Chen

Source URL: www0.cs.ucl.ac.uk

Journal of Machine Learning Research2038 Submitted 12/08; Revised 5/09; Published 9/09 Ultrahigh Dimensional Feature Selection: Beyond The Linear Model Jianqing Fan

Source URL: jmlr.csail.mit.edu

Deconvolutional Networks for Feature Learning Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Rob Fergus Courant Institute of Mathematical Sciences, New York University {zeiler,dilip,gwtaylor,fergus}@cs.nyu.edu Intr

Source URL: www.matthewzeiler.com

Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

Source URL: www.anthology.aclweb.org

• Machine learning
• Cognition
• Applied mathematics
• Cognitive science
• Deep learning
• Semi-supervised learning
• Supervised learning
• Feature learning
• Artificial neural network
• Support vector machine
• Deep belief network
• Autoencoder