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AAAI
2007
15 years 9 months ago
Autonomous Development of a Grounded Object Ontology by a Learning Robot
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
Joseph Modayil, Benjamin Kuipers
WSC
2008
15 years 9 months ago
Reducing the variance of likelihood ratio greeks in Monte Carlo
We investigate the use of Antithetic Variables, Control Variates and Importance Sampling to reduce the statistical errors of option sensitivities calculated with the Likelihood Ra...
Luca Capriotti
EMNLP
2007
15 years 8 months ago
Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser
This paper describes a probabilistic model for coordination disambiguation integrated into syntactic and case structure analysis. Our model probabilistically assesses the parallel...
Daisuke Kawahara, Sadao Kurohashi
NIPS
2008
15 years 8 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
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NAACL
2007
15 years 8 months ago
Detection of Non-Native Sentences Using Machine-Translated Training Data
Training statistical models to detect nonnative sentences requires a large corpus of non-native writing samples, which is often not readily available. This paper examines the exte...
John Lee, Ming Zhou, Xiaohua Liu