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» A New Class Based Associative Classification Algorithm
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KDID
2004
140views Database» more  KDID 2004»
13 years 10 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
AI
2011
Springer
13 years 25 days ago
Decentralized MDPs with sparse interactions
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...
Francisco S. Melo, Manuela M. Veloso
MP
2002
86views more  MP 2002»
13 years 8 months ago
Multistars, partial multistars and the capacitated vehicle routing problem
In an unpublished paper, Araque, Hall and Magnanti considered polyhedra associated with the Capacitated Vehicle Routing Problem (CVRP) in the special case of unit demands. Among th...
Adam N. Letchford, Richard W. Eglese, Jens Lysgaar...
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 9 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
PREMI
2005
Springer
14 years 2 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...