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ACL
2004
13 years 9 months ago
Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems
We use machine learners trained on a combination of acoustic confidence and pragmatic plausibility features computed from dialogue context to predict the accuracy of incoming n-be...
Malte Gabsdil, Oliver Lemon
ISCA
1995
IEEE
121views Hardware» more  ISCA 1995»
13 years 11 months ago
A Comparative Analysis of Schemes for Correlated Branch Prediction
Modern high-performance architectures require extremely accurate branch prediction to overcome the performance limitations of conditional branches. We present a framework that cat...
Cliff Young, Nicholas C. Gloy, Michael D. Smith
FLAIRS
2009
13 years 5 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
WWW
2010
ACM
14 years 2 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
14 years 2 months ago
Exploiting Laguerre functions to improve the feasibility/performance compromise in MPC
Abstract— This paper develops a novel mechanism for managing the performance and feasibility trade off withing predictive control. Specifically, it demonstrates that the potenti...
J. Anthony Rossiter, Liuping Wang