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» Introduction to Randomized Algorithms
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NIPS
2000
15 years 7 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
AAAI
1996
15 years 7 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
COLING
1996
15 years 7 months ago
Error-tolerant Tree Matching
This paper presents an efficient algorithm for retrieving from a database of trees, all trees that match a given query tree appro,imately, that is, within a certain error toleranc...
Kemal Oflazer
DAGSTUHL
1996
15 years 7 months ago
Self-Organizing Data Structures
We survey results on self-organizing data structures for the search problem and concentrate on two very popular structures: the unsorted linear list, and the binary search tree. Fo...
Susanne Albers, Jeffery Westbrook
GI
2008
Springer
15 years 7 months ago
A Self-Organized Localization-Free Clustering Approach for Redundancy Exploitation in Large Wireless Sensor Networks
: This paper investigates organization problems of large wireless sensor networks. In spite of their random deployment, nodes have to organize themselves as energy efficient as pos...
Jakob Salzmann