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IJAR
2006
89views more  IJAR 2006»
13 years 9 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
CJ
1999
95views more  CJ 1999»
13 years 8 months ago
Two Kinds of Probabilistic Induction
Problems in probabilistic induction are of two general kinds. In the first, we have a linearly ordered sequence of symbols that must be extrapolated. In the second we want to extr...
Ray J. Solomonoff
JIIS
2002
114views more  JIIS 2002»
13 years 8 months ago
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Ata Kabán, Mark Girolami
IFIP12
2008
13 years 10 months ago
Applying Data Mining to the Study of Joseki
Go is a strategic two player boardgame of Chinese origin. In terms of game theory, it is a deterministic perfect information game. But despite of these factors it is terribly comp...
Michiel Helvensteijn
CVPR
1998
IEEE
14 years 11 months ago
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: i probability values can be...
Djamel Bouchaffra, Venu Govindaraju, Sargur N. Sri...