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142
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ACL
2004
15 years 5 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
140
Voted
ISCA
1995
IEEE
121views Hardware» more  ISCA 1995»
15 years 7 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
148
Voted
FLAIRS
2009
15 years 1 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
143
Voted
WWW
2010
ACM
15 years 10 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
112
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CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
15 years 10 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