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» Learning Rules and Their Exceptions
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EGICE
2006
15 years 1 months ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...
JUCS
2008
160views more  JUCS 2008»
14 years 9 months ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
15 years 2 months ago
A new understanding of prediction markets via no-regret learning
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
Yiling Chen, Jennifer Wortman Vaughan
VLDB
1995
ACM
181views Database» more  VLDB 1995»
15 years 1 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
JAIR
2010
145views more  JAIR 2010»
14 years 8 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint