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122
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UMUAI
1998
128views more  UMUAI 1998»
15 years 10 days ago
Using Decision Trees for Agent Modeling: Improving Prediction Performance
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
Bark Cheung Chiu, Geoffrey I. Webb
149
Voted
DAC
2006
ACM
16 years 1 months ago
Elmore model for energy estimation in RC trees
This paper presents analysis methods for energy estimation in RC trees driven by time-varying voltage sources, e.g., buffers, timevarying power supplies, and resonant clock genera...
Quming Zhou, Kartik Mohanram
CVPR
2008
IEEE
16 years 2 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...
AI
2009
Springer
15 years 5 months ago
Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs to be assessed for each node. It generally has the comple...
Yang Xiang, Zoe Jingyu Zhu, Yu Li
120
Voted
EACL
2009
ACL Anthology
14 years 10 months ago
Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
like text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level...
Stephen Wan, Mark Dras, Robert Dale, Cécile...