Sciweavers

1407 search results - page 109 / 282
» Learning Abstract Scheduling Models
Sort
View
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
15 years 27 days ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
143
Voted
UMUAI
2002
138views more  UMUAI 2002»
15 years 2 months ago
Designing and Evaluating an Adaptive Spoken Dialogue System
Spoken dialogue systemperformance canvary widely fordifferentusers, aswell for the same userduring different dialogues.This paper presents the design and evaluation ofan adaptive v...
Diane J. Litman, Shimei Pan
ICALP
2007
Springer
15 years 8 months ago
Commitment Under Uncertainty: Two-Stage Stochastic Matching Problems
Abstract. We define and study two versions of the bipartite matching problem in the framework of two-stage stochastic optimization with recourse. In one version the uncertainty is...
Irit Katriel, Claire Kenyon-Mathieu, Eli Upfal
122
Voted
JSAC
2006
186views more  JSAC 2006»
15 years 2 months ago
Joint Congestion Control, Routing, and MAC for Stability and Fairness in Wireless Networks
Abstract--In this paper, we describe and analyze a joint scheduling, routing and congestion control mechanism for wireless networks, that asymptotically guarantees stability of the...
Atilla Eryilmaz, R. Srikant
HUC
2003
Springer
15 years 7 months ago
Inferring High-Level Behavior from Low-Level Sensors
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
Donald J. Patterson, Lin Liao, Dieter Fox, Henry A...