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» Learning with Mixtures of Trees
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127
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ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
15 years 10 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
98
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ECML
2007
Springer
15 years 10 months ago
Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data
Dympna O'Sullivan, William Elazmeh, Szymon Wilk, K...
151
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ROCAI
2004
Springer
15 years 9 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil

Book
796views
17 years 2 months ago
Introduction to Machine Learning
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc. The book covers the following topics: Boolean Functio...
Nils J. Nilsson
143
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IJON
1998
172views more  IJON 1998»
15 years 3 months ago
Blind separation of convolved mixtures in the frequency domain
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixtures in the frequency doma...
Paris Smaragdis