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» On the hardness of approximating Max-Satisfy
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105
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UAI
1998
14 years 11 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
82
Voted
DAM
2008
135views more  DAM 2008»
14 years 9 months ago
Edge ranking and searching in partial orders
: We consider a problem of searching an element in a partially ordered set (poset). The goal is to find a search strategy which minimizes the number of comparisons. Ben-Asher, Farc...
Dariusz Dereniowski
AMC
2006
115views more  AMC 2006»
14 years 9 months ago
A memetic algorithm for a vehicle routing problem with backhauls
This paper considers an extension of a vehicle routing problem with backhauls (VRPB). In this problem, a set of costumers are divided in two subsets consisting of linehaul and bac...
Reza Tavakkoli-Moghaddam, A. R. Saremi, M. S. Ziae...
84
Voted
GIS
2002
ACM
14 years 9 months ago
A road network embedding technique for k-nearest neighbor search in moving object databases
A very important class of queries in GIS applications is the class of K-Nearest Neighbor queries. Most of the current studies on the K-Nearest Neighbor queries utilize spatial ind...
Cyrus Shahabi, Mohammad R. Kolahdouzan, Mehdi Shar...
ML
1998
ACM
131views Machine Learning» more  ML 1998»
14 years 9 months ago
Learning from Examples and Membership Queries with Structured Determinations
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
Prasad Tadepalli, Stuart J. Russell