JMLR Volume 1

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leechers: 1
Added on February 18, 2015 by andnpin Books > Academic
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JMLR Volume 1 (Size: 5.44 MB)
 Bayes Point Machines.pdf954.52 KB
 Dependency Networks for Inference Collaborative Filtering and Data Visualization.pdf287.35 KB
 Lagrangian Support Vector Machines.pdf273.82 KB
 Learning Evaluation Functions to Improve Optimization by Local Search.pdf555.04 KB
 Learning with Mixtures of Trees.pdf339.09 KB
 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms.pdf475.21 KB
 Reducing Multiclass to Binary A Unifying Approach for Margin Classifiers.pdf271.41 KB
 Regularized Principal Manifolds.pdf711.87 KB
 Sparse Bayesian Learning and the Relevance Vector Machine.pdf935.64 KB
 SVMTorch Support Vector Machines for Large-Scale Regression.pdf300.76 KB
 Tracking the Best Linear Predictor.pdf465.77 KB

Description

Journal of Machine Learning Research Volume 1

Learning with Mixtures of Trees
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
Learning Evaluation Functions to Improve Optimization by Local Search
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Kernel Machines Section)
Lagrangian Support Vector Machines (Kernel Machines Section)
Regularized Principal Manifolds (Kernel Machines Section)
Sparse Bayesian Learning and the Relevance Vector Machine
Bayes Point Machines (Kernel Machines Section)
Tracking the Best Linear Predictor
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms



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5.44 MB
seeders:3
leechers:1
JMLR Volume 1