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DATAMINE
1999
108views more  DATAMINE 1999»
13 years 9 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 9 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
IEICET
2010
80views more  IEICET 2010»
13 years 7 months ago
Theoretical Analysis of Density Ratio Estimation
Density ratio estimation has gathered a great deal of attention recently since it can be used for various data processing tasks. In this paper, we consider three methods of densit...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
IJAR
2010
97views more  IJAR 2010»
13 years 7 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
MICCAI
2010
Springer
13 years 7 months ago
Automatic Detection and Segmentation of Axillary Lymph Nodes
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
Adrian Barbu, Michael Sühling, Xun Xu, David ...