← Core Methods
Machine Learning › Core Methods ›

Regression

4964 directly classified papers

Papers per year

Papers

Managing Diversity in Regression Ensembles JMLR 2005
Gaussian Processes for Ordinal Regression JMLR 2005
Some Properties of Regularized Kernel Methods JMLR 2004
Knowledge-Based Kernel Approximation JMLR 2004
Designing Committees of Models through Deliberate Weighting of Data Points JMLR 2003
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001
Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001
Tracking the Best Linear Predictor JMLR 2001
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001
Learning Evaluation Functions to Improve Optimization by Local Search JMLR 2000