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» Learning Decision Lists Using Homogeneous Rules
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AAAI
2010
13 years 9 months ago
To Max or Not to Max: Online Learning for Speeding Up Optimal Planning
It is well known that there cannot be a single "best" heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. b...
Carmel Domshlak, Erez Karpas, Shaul Markovitch
EUSFLAT
2001
103views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
The importance of learning in fuzzy systems
One of the superior capabilities of fuzzy systems is that they can use the information expressed in a linguistic pattern. Though most fuzzy systems, have been formed to emulate hu...
Ahmad Lotfi
WINE
2009
Springer
199views Economy» more  WINE 2009»
14 years 2 months ago
Externalities in Keyword Auctions: An Empirical and Theoretical Assessment
It is widely believed that the value of acquiring a slot in a sponsored search list (that comes along with the organic links in a search engine’s result page) highly depends on ...
Renato Gomes, Nicole Immorlica, Evangelos Markakis
ISCI
2008
124views more  ISCI 2008»
13 years 7 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu
KCAP
2003
ACM
14 years 1 months ago
Learning programs from traces using version space algebra
While existing learning techniques can be viewed as inducing programs from examples, most research has focused on rather narrow classes of programs, e.g., decision trees or logic ...
Tessa A. Lau, Pedro Domingos, Daniel S. Weld