conftrace_
← Topics

Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

5
73
527
1644
10862
15958
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Tracking a Small Set of Experts by Mixing Past Posteriors JMLR 2002
Using Confidence Bounds for Exploitation-Exploration Trade-offs JMLR 2002
Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results JMLR 2002
On Boosting with Polynomially Bounded Distributions JMLR 2002
Optimal Structure Identification With Greedy Search JMLR 2002
A Robust Minimax Approach to Classification JMLR 2002
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002
Efficient Algorithms for Decision Tree Cross-validation JMLR 2002
Multiple-Instance Learning of Real-Valued Data JMLR 2002
Learning Probabilistic Models of Link Structure JMLR 2002
The Representational Power of Discrete Bayesian Networks JMLR 2002
The Set Covering Machine JMLR 2002
Coupled Clustering: A Method for Detecting Structural Correspondence JMLR 2002
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002
Learning to Construct Fast Signal Processing Implementations JMLR 2002
Policy Search using Paired Comparisons JMLR 2002
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001
Lagrangian Support Vector Machines JMLR 2001
Regularized Principal Manifolds JMLR 2001
Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001
Bayes Point Machines JMLR 2001
Tracking the Best Linear Predictor JMLR 2001