Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles

Source URL: www.jsbi.org

• Machine learning
• Artificial intelligence
• Learning
• Statistical classification
• Search algorithms
• Model selection
• Ensemble learning
• Support vector machine
• K-nearest neighbors algorithm
• Feature selection
• Pattern recognition
• Polynomial kernel

“Why Should I Trust You?” Explaining the Predictions of Any Classifier arXiv:1602.04938v1 [cs.LG] 16 FebMarco Tulio Ribeiro

Source URL: arxiv.org

• Machine learning
• Statistics
• Statistical classification
• Learning
• Artificial intelligence
• Support vector machine
• Cross-validation
• Recommender system
• K-nearest neighbors algorithm
• Prediction
• Classifier

CMSCS TAT 37601: M ACHINE L EARNING AND L ARGE S CALE DATA A NALYSIS Syllabus, Spring 2015 Machine Learning and Large Scale Data Analysis is an advanced undergraduate level course in statistical machine learning

Source URL: galton.uchicago.edu

• Statistics
• Data
• Regression analysis
• Econometrics
• Formal sciences
• Machine learning
• Nonparametric regression
• Linear regression
• Data mining
• Statistical classification
• Cluster analysis
• Nonparametric statistics

Enhancing Entity Linking by Combining NER Models Julien Plu1 , Giuseppe Rizzo2 , Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France julien.plu|

Source URL: giusepperizzo.github.io

• Natural language processing
• Computational linguistics
• Linguistics
• Artificial intelligence
• Named-entity recognition
• Machine learning
• Information extraction
• Entity linking
• Part-of-speech tagging
• Entityrelationship model
• Cross-validation

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

Source URL: www.cstr.inf.ed.ac.uk

• Statistics
• Machine learning
• Artificial intelligence
• Statistical models
• Markov models
• Language modeling
• Computational linguistics
• Mixture model
• Word embedding
• Image segmentation
• Hidden Markov model
• Speech recognition

CURRICULUM VITAE Robert F. Murphy Ray and Stephanie Lane Professor of Computational Biology and Professor of Biological Sciences, Biomedical Engineering and Machine Learning Carnegie Mellon University 5000 Forbes Avenue

Source URL: murphylab.cbd.cmu.edu

Advanced Root Cause Analysis for Product Quality Improvement using Machine Learning in TIBCO Spotfire GRADIENT BOOSTING MACHINE MODELING Gradient Boosting Machine

Source URL: spotfire.tibco.com

• Statistics
• Regression analysis
• Information
• Computing
• Econometrics
• Statistical models
• Business intelligence
• Insurance
• Predictive analytics
• Interaction
• Spotfire
• TIBCO Software

WCCI-2014 Tutorial Slow Feature Analysis for Curiosity-Driven Agents Matthew Luciw, Varun Raj Kompella and Juergen Schmidhuber

Source URL: www.conference123.org

• Artificial intelligence
• Learning
• Cognition
• Computational neuroscience
• Cybernetics
• Machine learning
• Robotics
• Dalle Molle Institute for Artificial Intelligence Research
• Artificial neural network
• Developmental robotics
• ICub
• Reinforcement learning

In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, 2010 Exploiting Local Structure in Stacked Boltzmann Machines Hannes Schulz, Andreas M¨ ul

Source URL: amueller.github.io

• Artificial neural networks
• Statistics
• Probability
• Statistical models
• Machine learning
• Artificial intelligence
• Computational neuroscience
• Restricted Boltzmann machine
• Boltzmann machine
• Feature learning
• Deep belief network
• Convolutional neural network