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PROMISE
2010
14 years 11 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
IWLCS
2001
Springer
15 years 9 months ago
Explorations in LCS Models of Stock Trading
In previous papers we have described the basic elements for building an economic model consisting of a group of artificial traders functioning and adapting in an environment conta...
Sonia Schulenburg, Peter Ross
ATAL
2009
Springer
15 years 11 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
CIKM
2005
Springer
15 years 10 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
AIMSA
2008
Springer
15 years 10 months ago
Tailoring the Interpretation of Spatial Utterances for Playing a Board Game
In order to build an intelligent system that allows human beings to cooperate with a computing machine to perform a given task it is important to account for the individual charact...
Andrea Corradini