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JMLR
2008
168views more  JMLR 2008»
15 years 6 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
TCS
2008
15 years 6 months ago
Competitive graph searches
We exemplify an optimization criterion for divide-and-conquer algorithms with a technique called generic competitive graph search. The technique is then applied to solve two probl...
Binh-Minh Bui-Xuan, Michel Habib, Christophe Paul
COR
2007
106views more  COR 2007»
15 years 6 months ago
On a stochastic sequencing and scheduling problem
We present a framework for solving multistage pure 0–1 programs for a widely used sequencing and scheduling problem with uncertainty in the objective function coefficients, the...
Antonio Alonso-Ayuso, Laureano F. Escudero, M. Ter...
ENTCS
2008
153views more  ENTCS 2008»
15 years 6 months ago
Efficient Conflict Detection in Graph Transformation Systems by Essential Critical Pairs
The well-known notion of critical pairs already allows a static conflict detection, which is important for all kinds of applications and already implemented in AGG. Unfortunately ...
Leen Lambers, Hartmut Ehrig, Fernando Orejas
FSS
2010
147views more  FSS 2010»
15 years 5 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz