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» Inferring Genetic Networks from Microarray Data
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UAI
2003
15 years 1 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
85
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BMCBI
2007
116views more  BMCBI 2007»
14 years 12 months ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...
COLING
2000
15 years 1 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
IJMSO
2006
105views more  IJMSO 2006»
14 years 11 months ago
Trust network-based filtering of aggregated claims
: On the semantic web, assertions may be aggregated from many sources, those aggregations filtered, reasoned over, aggregated with other aggregators, displayed, scraped, extracted,...
Jennifer Golbeck, Bijan Parsia
BMCBI
2007
152views more  BMCBI 2007»
14 years 11 months ago
Recodon: Coalescent simulation of coding DNA sequences with recombination, migration and demography
Background: Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulation...
Miguel Arenas, David Posada