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KDD
2003
ACM
150views Data Mining» more  KDD 2003»
14 years 7 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
IJCAI
2007
13 years 9 months ago
Inside-Outside Probability Computation for Belief Propagation
In this paper we prove that the well-known correspondence between the forward-backward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be...
Taisuke Sato
ICASSP
2008
IEEE
14 years 1 months ago
Efficient language model look-ahead probabilities generation using lower order LM look-ahead information
In this paper, an efficient method for language model lookahead probability generation is presented. Traditional methods generate language model look-ahead (LMLA) probabilities fo...
Langzhou Chen, K. K. Chin
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
13 years 9 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens
ICML
2001
IEEE
14 years 8 months ago
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
Bianca Zadrozny, Charles Elkan