Classifying Skewed Data: Importance Weighting to Optimize Average Recall Andrew Rosenberg1 1 Department of Computer Science, Queens College (CUNY), Flushing, NY, USA

Source URL: speech.cs.qc.cuny.edu

• Statistical classification
• Machine learning
• Ensemble learning
• Data mining
• K-nearest neighbors algorithm
• Multiclass classification
• Boosting
• Pitch accent
• Support vector machine
• AdaBoost
• Receiver operating characteristic
• Binary classification

Selecting Near-Optimal Learners via Incremental Data Allocation Ashish Sabharwal Horst Samulowitz and Gerald Tesauro Allen Institute for AI

Source URL: ai2-website.s3.amazonaws.com

• Statistical classification
• Support vector machine
• Supervised learning
• XTR
• Machine learning
• Perceptron
• Linear discriminant analysis

kernlab – An S4 Package for Kernel Methods in R Alexandros Karatzoglou Alex Smola Technische Universit¨

Source URL: mran.microsoft.com

• Machine learning
• Learning
• Statistics
• Statistical classification
• Nonparametric statistics
• Geostatistics
• Kernel method
• Multivariate statistics
• Support vector machine
• Radial basis function kernel
• Polynomial kernel
• Positive-definite kernel

A Task-Oriented Approach for Cost-sensitive Recognition Roozbeh Mottaghi1 Hannaneh Hajishirzi2 Ali Farhadi1,2 1 Allen Institute for Artificial Intelligence

Source URL: ai2-website.s3.amazonaws.com

• Machine learning
• Cognitive science
• Cognition
• Neuropsychology
• Image segmentation
• Biclustering
• Feature learning
• Attention
• Feature selection
• Clothes iron
• Outline of object recognition
• Statistical classification

Biomedical Informatics Insights O r i g i n al R e s e a r c h Open Access Full open access to this and

Source URL: cl.indiana.edu

• Artificial intelligence
• Computational linguistics
• Linguistics
• Machine learning
• Natural language processing
• Speech recognition
• Corpus linguistics
• Sentiment analysis
• N-gram
• Statistical classification
• Multi-label classification
• WordNet

Learning Policies for Contextual Submodular Prediction Stephane Ross Jiaji Zhou Yisong Yue Debadeepta Dey

Source URL: select.cs.cmu.edu

• Submodular set function
• Automatic summarization
• Statistical classification
• Number theory
• Support vector machine
• Machine learning
• Reinforcement learning
• Mathematical optimization
• Distribution

CS 559: Homework Set 3 Due: November 5, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

Source URL: www.cs.stevens.edu

• Software
• Algebra
• Statistics
• Multivariate statistics
• Linear algebra
• Matrices
• Dimension reduction
• Machine learning
• Matrix
• Linear discriminant analysis
• Principal component analysis
• Statistical classification

Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PAUSA

Source URL: www.cc.gatech.edu

• Statistics
• Statistical classification
• Statistical theory
• Probability
• Ensemble learning
• K-nearest neighbors algorithm
• Prior probability
• Monte Carlo method

LEARNING EFFICIENT REPRESENTATIONS FOR SEQUENCE RETRIEVAL Laboratory for the Recognition and Organization of Speech and Audio Colin Raffel, LabROSA, Dept of Electrical Engineering, Columbia University

Source URL: colinraffel.com

• Machine learning
• Artificial intelligence
• Learning
• Statistics
• Dynamic programming
• Dynamic time warping
• Time series analysis
• Similarity measure
• Feature vector
• Yoshua Bengio
• Statistical classification
• Feature

An Introduction to Machine Learning L4: Support Vector Classification Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia

Source URL: alex.smola.org