IEEE TRANSACTIONS ON SOFTWARE ENGINEERING Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction” Chakkrit Tantithamthavorn, Student Member, IEEE,

Source URL: sail.cs.queensu.ca

• Regression analysis
• Econometrics
• Parametric statistics
• Scientific method
• Statistical methods
• Analysis of variance
• Linear regression
• Multicollinearity
• Prediction
• Coefficient of determination
• Data analysis
• Statistical classification

CLASSIC : un projet d’équipe Convex Learning through Aggregation, Supervised Statistical Inference and Classification Olivier Catoni Vincent Rivoirard

Source URL: www.math.ens.fr

Text Classification using Mahout (Nov. 6, Module name: Text Classification using Mahout 2. Scope: This module focuses on classification of text using Apache Mahout 3. Learning objectives After successful complet

Source URL: curric.dlib.vt.edu

• Computing
• Data
• Statistical classification
• Statistics
• Machine learning
• Hadoop
• Apache Software Foundation
• Apache Mahout
• Naive Bayes classifier
• Classification rule
• Apache Hadoop
• Mahout

mir_eval: A TRANSPARENT IMPLEMENTATION OF COMMON MIR METRICS Colin Raffel1,* , Brian McFee1,2 , Eric J. Humphrey3 , Justin Salamon3,4 , Oriol Nieto3 , Dawen Liang1 , and Daniel P. W. Ellis1 1

Source URL: colinraffel.com

• Music information retrieval
• Music software
• Mirex
• Information retrieval evaluation
• International Society for Music Information Retrieval
• Precision and recall
• Image segmentation
• Onset
• Statistical classification
• Information retrieval
• Transcription
• Draft:Music information retrieval

CS 558: Homework Assignment 4 - Visual Recognition Due: April 26, 11:59pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

Source URL: www.cs.stevens.edu

• Artificial intelligence
• Image processing
• Statistics
• Nonparametric statistics
• Feature detection
• Vision
• Computer vision
• Machine learning
• K-nearest neighbors algorithm
• Image histogram
• Statistical classification
• Histogram

SHIV: Reducing Supervisor Burden in DAgger using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces Michael Laskey1 , Sam Staszak1 , Wesley Yu-Shu Hsieh1 , Jeffrey Mahler1 , Flori

Source URL: goldberg.berkeley.edu

• Machine learning
• Artificial intelligence
• Statistics
• Learning
• Statistical classification
• Support vector machine
• Apprenticeship learning
• Artificial neural network
• Loss function
• Motion planning
• Reinforcement learning
• Robotics

Trust, but Verify: Predicting Contribution Quality for Knowledge Base Construction and Curation Chun How Tan Eugene Agichtein

Source URL: www.cs.technion.ac.il

• Google Search
• Internet search engines
• Freebase
• Knowledge Graph
• Machine learning
• Statistical classification
• Crowdsourcing
• Information science
• Information retrieval
• Cognition

Learning Local Invariant Mahalanobis Distances Ethan Fetaya Weizmann Institute of science ETHAN . FETAYA @ WEIZMANN . AC . IL

Source URL: jmlr.org

• Algebra
• Mathematics
• Statistics
• Real algebraic geometry
• Multivariate statistics
• Statistical classification
• Mahalanobis distance
• Statistical distance
• Linear algebra
• Support vector machine
• Large margin nearest neighbor
• Matrix

Gender Inference of Twitter Users in Non-English Contexts Morgane Ciot Morgan Sonderegger Derek Ruths School of Computer Science Department of Linguistics

Source URL: www.derekruths.com

• Software
• Linguistics
• Computing
• Parts of speech
• Statistical classification
• Linguistic morphology
• Grammatical gender
• Classifier
• Support vector machine
• Twitter
• Grammatical number
• Gender

How Boosting the Margin Can Also Boost Classifier Complexity ICML ’06 Lev Reyzin

Source URL: www.levreyzin.com

• Machine learning
• Artificial intelligence
• Ensemble learning
• Learning
• Boosting
• AdaBoost
• Statistical classification
• Classifier
• Robert Schapire
• Generalization error
• VC dimension
• Margin classifier