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JASIS
2000
143views more  JASIS 2000»
13 years 8 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
IJCAI
1989
13 years 10 months ago
Reasoning About Assumptions in Graphs of Models
Solving design and analysis problems in physical worlds requires the representatio n of large amounts of knowledge. Recently, there has been much interest in explicitly making ass...
Sanjaya Addanki, Roberto Cremonini, J. Scott Penbe...
RECOMB
2001
Springer
14 years 9 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
IIS
2003
13 years 10 months ago
The Development of the Inductive Database System VINLEN: A Review of Current Research
Current research on the VINLEN inductive database system is briefly reviewed and illustrated by selected results. The goal of research on VINLEN is to develop a methodology for de...
Kenneth A. Kaufman, Ryszard S. Michalski
MMAS
2004
Springer
14 years 2 months ago
Quantitative Organizational Models for Large-Scale Agent Systems
Abstract. As the scale and scope of multi-agent systems grow, it becomes increasingly important to design and manage the manner in which the participants interact. The potential fo...
Bryan Horling, Victor R. Lesser