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128
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IJAR
2006
89views more  IJAR 2006»
15 years 3 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
117
Voted
CJ
1999
95views more  CJ 1999»
15 years 3 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
142
Voted
JIIS
2002
114views more  JIIS 2002»
15 years 3 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
118
Voted
IFIP12
2008
15 years 5 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
120
Voted
CVPR
1998
IEEE
16 years 5 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...