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ALT
2000
Springer
14 years 4 months ago
On Approximate Learning by Multi-layered Feedforward Circuits
Abstract. We consider the problem of efficient approximate learning by multilayered feedforward circuits subject to two objective functions. First, we consider the objective to ma...
Bhaskar DasGupta, Barbara Hammer
ALGORITHMICA
1998
73views more  ALGORITHMICA 1998»
13 years 7 months ago
Linear Probing and Graphs
Mallows and Riordan showed in 1968 that labeled trees with a small number of inversions are related to labeled graphs that are connected and sparse. Wright enumerated sparse connec...
Donald E. Knuth
AAAI
2000
13 years 8 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 2 months ago
On Quadratic Programming with a Ratio Objective
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
Aditya Bhaskara, Moses Charikar, Rajsekar Manokara...
CDC
2009
IEEE
152views Control Systems» more  CDC 2009»
14 years 7 days ago
Distributed image-based 3-D localization of camera sensor networks
— We consider the problem of distributed estimation of the poses of N cameras in a camera sensor network using image measurements only. The relative rotation and translation (up ...
Roberto Tron, René Vidal