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» Approximation Methods for Supervised Learning
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IJIT
2004
15 years 1 months ago
A Fuzzy Classifier with Evolutionary Design of Ellipsoidal Decision Regions
A fuzzy classifier using multiple ellipsoids approximating decision regions for classification is to be designed in this paper. An algorithm called Gustafson-Kessel algorithm (GKA)...
Leehter Yao, Kuei-Song Weng, Cherng-Dir Huang
MLDM
2008
Springer
14 years 11 months ago
Distributed Monitoring of Frequent Items
Monitoring frequently occuring items is a recurring task in a variety of applications. Although a number of solutions have been proposed there has been few to address the problem i...
Robert Fuller, Mehmed M. Kantardzic
ICML
2005
IEEE
16 years 20 days ago
Tempering for Bayesian C&RT
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
Nicos Angelopoulos, James Cussens
ICML
2005
IEEE
16 years 20 days ago
Closed-form dual perturb and combine for tree-based models
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Pierre Geurts, Louis Wehenkel
77
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ICML
2005
IEEE
16 years 20 days ago
Fast maximum margin matrix factorization for collaborative prediction
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
Jason D. M. Rennie, Nathan Srebro