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ICML
2007
IEEE
14 years 8 months ago
Mixtures of hierarchical topics with Pachinko allocation
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
David M. Mimno, Wei Li, Andrew McCallum
ALT
2005
Springer
14 years 4 months ago
Mixture of Vector Experts
Abstract. We describe and analyze an algorithm for predicting a sequence of n-dimensional binary vectors based on a set of experts making vector predictions in [0, 1]n . We measure...
Matthew Henderson, John Shawe-Taylor, Janez Zerovn...
COLT
2003
Springer
14 years 1 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio
SIGKDD
2000
96views more  SIGKDD 2000»
13 years 7 months ago
The MP13 Approach to the KDD'99 Classifier Learning Contest
The MP13 method is best summarized as recognition based on voting decision trees using "pipes" in potential space. Keywords Voting; Decision Tree; Potential Space
Vladimir Miheev, Alexei Vopilov, Ivan Shabalin
ICGI
2000
Springer
13 years 11 months ago
Constructive Learning of Context-Free Languages with a Subpansive Tree
A subpansive tree is a rooted tree that gives a partial order of nonterminal symbols of a context-free grammar. We formalize subpansive trees as background knowledge of CFGs, and i...
Noriko Sugimoto, Takashi Toyoshima, Shinichi Shimo...