Sciweavers

1227 search results - page 131 / 246
» Learning Rates for Q-Learning
Sort
View
HIS
2004
14 years 11 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ISCAPDCS
2001
14 years 11 months ago
A Study of Parallel Monitoring Algorithm in ATM Network Admission Control
Admission control strategies play an important role in congestion control and in guaranteeing the quality of service in Asynchronous Transfer Mode (ATM) networks. Three categories...
Mansoor Alam, Carl Weisfelder, Min Song
ICML
2010
IEEE
14 years 11 months ago
Conditional Topic Random Fields
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
Jun Zhu, Eric P. Xing
ICML
2010
IEEE
14 years 8 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
CVPR
2007
IEEE
16 years 9 hour ago
Human Detection via Classification on Riemannian Manifolds
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
Oncel Tuzel, Fatih Porikli, Peter Meer