Journal of Machine Learning Research[removed]1371 Submitted 10/09; Revised 6/11; Published 5/12 Transfer in Reinforcement Learning via Shared Features George Konidaris

Source URL: lis.csail.mit.edu

• Cybernetics
• Dynamic programming
• Stochastic control
• Reinforcement learning
• Computational neuroscience
• Markov decision process
• Machine learning
• Intelligent agent
• Reinforcement
• Statistics
• Artificial intelligence
• Science

Journal of Machine Learning Research[removed]2368 Submitted 12/06; Revised 7/07; Published[removed]AdaBoost is Consistent Peter L. Bartlett

Source URL: jmlr.csail.mit.edu

• Learning
• Mathematics
• Continuous function
• Boosting
• Ensemble learning
• AdaBoost
• Artificial intelligence

Click Here JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 114, D06207, doi:[removed]2008JD011005, 2009 for

Source URL: i3rc.gsfc.nasa.gov

• Electromagnetic radiation
• Design of experiments
• Hypothesis testing
• Receiver operating characteristic
• Atmospheric radiative transfer codes
• Optical depth
• Naive Bayes classifier
• Optics
• Binary classification
• Statistics
• Statistical classification
• Machine learning

Journal of Machine Learning Research[removed]1025 Submitted 10/05; Revised 12/06; Published 5/07 On the Consistency of Multiclass Classification Methods Ambuj Tewari

Source URL: jmlr.csail.mit.edu

Journal of Machine Learning Research[removed] Submitted 6/06; Published 4/07 Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

Source URL: jmlr.csail.mit.edu

• Physics
• Integral calculus
• Integration by substitution
• Universal property
• Hilbert space
• Spectral theory of ordinary differential equations
• Errors-in-variables models
• Mathematics
• Operator theory
• Mathematical analysis

Journal of Machine Learning Research () Submitted ; Published Robust Hierarchical Clustering∗ Maria-Florina Balcan

Source URL: www.cs.cmu.edu

• Data analysis
• Data mining
• Geostatistics
• Hierarchical clustering
• Single-linkage clustering
• Unsupervised learning
• K-means clustering
• Document clustering
• Nearest-neighbor chain algorithm
• Statistics
• Machine learning
• Cluster analysis

Journal of Machine Learning Research[removed]–1281 Submitted 7/06; Published 7/06 The Interplay of Optimization and Machine Learning Research Kristin P. Bennett

Source URL: machinelearning.wustl.edu

• Operations research
• Linear programming
• Combinatorial optimization
• Support vector machine
• Sequential minimal optimization
• Quadratic programming
• Global optimization
• Nonlinear programming
• Convex optimization
• Mathematical optimization
• Mathematics
• Applied mathematics

Journal of Machine Learning Research[removed]2014 Submitted 5/07; Revised 6/08; Published 9/08 Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi∗

Source URL: jmlr.csail.mit.edu

• Expectation–maximization algorithm
• Missing data
• Kullback–Leibler divergence
• Constructible universe
• Markov chain
• Function
• Latent Dirichlet allocation
• Universal quantification
• Variational Bayesian methods
• Statistics
• Mathematics
• Estimation theory

Journal of Machine Learning Research[removed]1728 Submitted 4/10; Revised 10/10; Published 5/11 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

Source URL: jmlr.csail.mit.edu

• Interpolation
• Kriging
• Multivariate interpolation
• Covariance
• Regression analysis
• Partial differential equation
• Variance
• Statistics
• Differential equations
• Geostatistics

Journal of Machine Learning Research ? (2012) ? Submitted ?; Published ? A Reliable Effective Terascale Linear Learning System Alekh Agarwal∗

Source URL: arxiv.org

• Apache Hadoop
• Cloud computing
• Cloud infrastructure
• Computer cluster
• Binary tree
• MapReduce
• Tree
• Distributed computing
• Tango tree
• Computing
• Concurrent computing
• Parallel computing