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» Rule Learning with Negation: Issues Regarding Effectiveness
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EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide
HICSS
2007
IEEE
110views Biometrics» more  HICSS 2007»
14 years 1 months ago
Paper versus Electronic: Challenges Associated with Physicians' Usage of Electronic Medical Records
This study builds on the theory of planned behavior, institutional and diffusion theories to investigate physicians’ attitudes and usage behaviors of electronic medical records ...
Virginia Ilie, James F. Courtney, Craig Van Slyke
NIPS
2007
13 years 8 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
ACL
2009
13 years 4 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani
ITS
2000
Springer
159views Multimedia» more  ITS 2000»
13 years 10 months ago
Can We Learn from ITSs?
With the rise of VR, the internet, and mobile technologies and the shifts in educational focus from teaching to learning and from solitary to collaborative work, it's easy (bu...
Benedict du Boulay