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» Statistical Performance Modeling and Optimization
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ACL
2012
12 years 1 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
14 years 22 days ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
RECSYS
2009
ACM
14 years 5 months ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin
ACL
2009
13 years 8 months ago
Cross-Domain Dependency Parsing Using a Deep Linguistic Grammar
Pure statistical parsing systems achieves high in-domain accuracy but performs poorly out-domain. In this paper, we propose two different approaches to produce syntactic dependenc...
Yi Zhang, Rui Wang
CHI
2006
ACM
14 years 11 months ago
Generating automated predictions of behavior strategically adapted to specific performance objectives
It has been well established in Cognitive Psychology that humans are able to strategically adapt performance, even highly skilled performance, to meet explicit task goals such as ...
Katherine Eng, Richard L. Lewis, Irene Tollinger, ...