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BIRTHDAY
2005
Springer
15 years 10 months ago
Objective Bayesian Nets
I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to sat...
Jon Williamson
EWCBR
2004
Springer
15 years 10 months ago
Learning Feature Taxonomies for Case Indexing
Taxonomic case retrieval systems significantly outperform standard conversational case retrieval systems. However, their feature taxonomies, which are the principal reason for thei...
Kalyan Moy Gupta, David W. Aha, Philip G. Moore
PDP
2003
IEEE
15 years 9 months ago
An XML based framework for self-describing parallel I/O data
File I/O data is interpreted by high performance parallel/distributed applications mostly as a sequence of arbitrary bits. This leads to the situation where data is ’volatile’...
András Belokosztolszki, Erich Schikuta
IJCAI
2007
15 years 5 months ago
Recursive Random Fields
A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...
Daniel Lowd, Pedro Domingos
FLAIRS
2004
15 years 5 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin