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BMCBI
2011
14 years 4 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
ICML
2003
IEEE
16 years 1 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu
INDIASE
2009
ACM
15 years 7 months ago
An effective learning environment for teaching problem solving in software architecture
A software architect engages in solving Software Engineering (SE) problems throughout his career. Thus inculcating problem solving skills should be one of the learning objectives ...
Kirti Garg, Vasudeva Varma
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 4 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
ESWS
2007
Springer
15 years 6 months ago
Acquisition of OWL DL Axioms from Lexical Resources
State-of-the-art research on automated learning of ontologies from text currently focuses on inexpressive ontologies. The acquisition of complex axioms involving logical connective...
Johanna Völker, Pascal Hitzler, Philipp Cimia...