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» Evolving by Maximizing the Number of Rules: Complexity Study
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WINE
2007
Springer
150views Economy» more  WINE 2007»
14 years 7 days ago
Maximizing Revenue in Sequential Auctions
We study sequential auctions for private value objects and unit-demand bidders using second-price sealed-bid rules. We analyze this scenario from the seller’s perspective and con...
Edith Elkind, S. Shaheen Fatima
TFS
2008
157views more  TFS 2008»
13 years 5 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
ACTA
2007
85views more  ACTA 2007»
13 years 6 months ago
The complexity of satisfying constraints on databases of transactions
Abstract Computing frequent itemsets is one of the most prominent problems in data mining. Recently, a new related problem, called FREQSAT, was introduced and studied: given some i...
Toon Calders
FMSB
2008
129views Formal Methods» more  FMSB 2008»
13 years 7 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...
TSP
2008
174views more  TSP 2008»
13 years 6 months ago
Complex ICA Using Nonlinear Functions
We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal processing such that all computations can be directly carried out in the complex domain. Th...
Tülay Adali, Hualiang Li, Mike Novey, J.-F. C...