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» Decision Making Using Probabilistic Inference Methods
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KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 4 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 10 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
ACL
2006
15 years 5 months ago
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
149
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MICAI
2010
Springer
15 years 2 months ago
Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish
The meaning of such verb-noun combinations as take care, undertake work, pay attention can be generalized as DO what is designated by the noun. Likewise, the meaning of make a deci...
Olga Kolesnikova, Alexander F. Gelbukh
EXPERT
2007
76views more  EXPERT 2007»
15 years 4 months ago
Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
Prediction is an important component in a variety of domains. Intelligent systems that can predict future events are better enabled to make more informed, and therefore more relia...
Karthik Gopalratnam, Diane J. Cook