833 search results - page 36 / 167 » Simpler and better approximation algorithms for network desi... |
ACMICEC
2007
ACM
13 years 11 months ago
2007
ACM
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
EOR
2006
13 years 7 months ago
2006
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
NN
2007
Springer
13 years 7 months ago
2007
Springer
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
OL
2011
13 years 2 months ago
2011
Given a simple undirected graph, the minimum connected dominating set problem is to find a minimum cardinality subset of vertices D inducing a connected subgraph such that each ve...
SMA
2010
ACM
13 years 8 months ago
2010
ACM
In region machining, neighbouring regions may be close together, but disconnected. Boundary curves may also have unwanted geometric artifacts caused by approximation and discretis...