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NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 1 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
125
Voted
PVLDB
2008
107views more  PVLDB 2008»
15 years 11 days ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
123
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AAAI
2010
15 years 3 months ago
Fast Local Search Algorithm for Weighted Feedback Arc Set in Tournaments
We present a fast local search algorithm that finds an improved solution (if there is any) in the k-exchange neighborhood of the given solution to an instance of WEIGHTED FEEDBACK...
Fedor V. Fomin, Daniel Lokshtanov, Venkatesh Raman...
168
Voted
DAM
2011
14 years 9 months ago
Optimization problems in multiple subtree graphs
We study various optimization problems in t-subtree graphs, the intersection graphs of tsubtrees, where a t-subtree is the union of t disjoint subtrees of some tree. This graph cl...
Danny Hermelin, Dror Rawitz
DALT
2009
Springer
15 years 5 months ago
Computing Utility from Weighted Description Logic Preference Formulas
We propose a framework to compute the utility of a proposal w.r.t. a preference set in a negotiation process. In particular, we refer to preferences expressed as weighted formulas ...
Azzurra Ragone, Tommaso Di Noia, Francesco M. Doni...