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ECAI
2008
Springer
15 years 3 months ago
Online Rule Learning via Weighted Model Counting
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
Frédéric Koriche
105
Voted
SEKE
2005
Springer
15 years 7 months ago
Modelling Agent Knowledge with Business Rules
Multi-agent systems have become increasingly mature, but their appearance does not make the traditional OO approach obsolete. On the contrary, OO methodologies can benefit from th...
Liang Xiao 0002, Des Greer
IJCNN
2008
IEEE
15 years 8 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
ICCAD
2006
IEEE
99views Hardware» more  ICCAD 2006»
15 years 11 months ago
Variability and yield improvement: rules, models, and characterization
Yield and variability are becoming detractors for successful design in sub-90-nm process technologies. We consider the fundamental lithography and process issues that are driving ...
Kenneth L. Shepard, Daniel N. Maynard
125
Voted
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
15 years 2 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya