Machine Learning

Published
ROC convex hull and nonparametric maximum likelihood estimation
Published
Efficient max-margin multi-label classification with applications to zero-shot learning
Published
Introduction to the special issue on learning from multi-label data
Published
Meta-learning for evolutionary parameter optimization of classifiers
Multi-parametric solution-path algorithm for instance-weighted support vector machines
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions
Published
Multi-output learning via spectral filtering
Published
Learning sparse gradients for variable selection and dimension reduction
Published
Bayesian multi-instance multi-label learning using Gaussian process prior
Published
Temporal-difference search in computer Go
PAMR: Passive aggressive mean reversion strategy for portfolio selection
Scalable and efficient multi-label classification for evolving data streams
Published
Optimal control as a graphical model inference problem
Published
Experiment databases
Compressed labeling on distilled labelsets for multi-label learning
Published
Statistical topic models for multi-label document classification
Published
Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning
Published
Visualizing non-metric similarities in multiple maps
Local equivalences of distances between clusterings—a geometric perspective
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
Similarity measures over refinement graphs
Published
Multilabel classification with meta-level features in a learning-to-rank framework
Published
Online variance minimization
Published
Robustness and generalization
Published
Statistical analysis of kernel-based least-squares density-ratio estimation
Published
An alternative view of variational Bayes and asymptotic approximations of free energy
Efficiently identifying deterministic real-time automata from labeled data
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification
Published
Linear classifiers are nearly optimal when hidden variables have diverse effects
ILP turns 20
Published
Guest editorial: model selection and optimization in machine learning
Published
Guest Editors’ introduction
Published
RE-EM trees: a data mining approach for longitudinal and clustered data
Published
Inverse subsumption for complete explanatory induction
Published
An asymptotically optimal policy for finite support models in the multiarmed bandit problem
Published
Classifier chains for multi-label classification
Published
Model selection in reinforcement learning
Published
Sparse conjugate directions pursuit with application to fixed-size kernel models
Published
Introduction to the special issue on empirical evaluations in reinforcement learning
Characterizing reinforcement learning methods through parameterized learning problems
Construction and learnability of canonical Horn formulas
SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels
Published
Bridging logic and kernel machines
Gradient-based boosting for statistical relational learning: The relational dependency network case
Data and task parallelism in ILP using MapReduce
Applying the information bottleneck to statistical relational learning
Published
Machine learning in space: extending our reach
Published
Model selection for primal SVM
Published
Onboard object recognition for planetary exploration
Published
Resampling approach for cluster model selection
x

Log In

or reset password

Reset Password

Enter the email address you signed up with, and we'll send a reset password email to that address

Academia © 2012