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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
ECAI
2008
Springer
15 years 8 months ago
An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. V...
AAAI
2004
15 years 8 months ago
Discriminating Among Word Meanings by Identifying Similar Contexts
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
Amruta Purandare, Ted Pedersen
ACL
2010
15 years 4 months ago
Optimizing Question Answering Accuracy by Maximizing Log-Likelihood
In this paper we demonstrate that there is a strong correlation between the Question Answering (QA) accuracy and the log-likelihood of the answer typing component of our statistic...
Matthias H. Heie, Edward W. D. Whittaker, Sadaoki ...
BMCBI
2008
114views more  BMCBI 2008»
15 years 6 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson