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IJIIDS
2008
201views more  IJIIDS 2008»
14 years 10 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
BMCBI
2005
251views more  BMCBI 2005»
14 years 9 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
ISCA
1993
IEEE
125views Hardware» more  ISCA 1993»
15 years 2 months ago
Evaluation of Mechanisms for Fine-Grained Parallel Programs in the J-Machine and the CM-5
er uses an abstract machine approach to compare the mechanisms of two parallel machines: the J-Machine and the CM-5. High-level parallel programs are translated by a single optimi...
Ellen Spertus, Seth Copen Goldstein, Klaus E. Scha...
ASM
2003
ASM
15 years 3 months ago
ASMs versus Natural Semantics: A Comparison with New Insights
Abstract. We compare three specification frameworks for the operationtics of programming languages, abstract state machines (ASMs) and the two incarnations of natural semantics, b...
Sabine Glesner
ML
2012
ACM
413views Machine Learning» more  ML 2012»
13 years 5 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...