424 search results - page 76 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
ATAL
2006
Springer
14 years 10 days ago
2006
Springer
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
IJON
2007
13 years 8 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
TMI
2002
13 years 8 months ago
2002
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...
ICML
1996
IEEE
14 years 9 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...