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» Learning and Generalization with the Information Bottleneck
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SIGMOD
2010
ACM
224views Database» more  SIGMOD 2010»
15 years 6 months ago
GDR: a system for guided data repair
Improving data quality is a time-consuming, labor-intensive and often domain specific operation. Existing data repair approaches are either fully automated or not efficient in int...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
AR
2006
95views more  AR 2006»
15 years 6 months ago
Adaptive body schema for robotic tool-use
The development and expression of many higher level cognitive functions, such as imitation, spatial perception, and tool-use relies on a multi-modal representation of the body kno...
Cota Nabeshima, Yasuo Kuniyoshi, Max Lungarella
IANDC
2006
102views more  IANDC 2006»
15 years 6 months ago
Polynomial certificates for propositional classes
This paper studies the complexity of learning classes of expressions in propositional logic from equivalence queries and membership queries. In particular, we focus on bounding th...
Marta Arias, Aaron Feigelson, Roni Khardon, Rocco ...
ML
2008
ACM
109views Machine Learning» more  ML 2008»
15 years 6 months ago
O'browser: objective caml on browsers
We present a way to run Objective Caml programs on a standard, unmodified web browser, with a compatible data representation and execution model, including concurrency. To achieve...
Benjamin Canou, Vincent Balat, Emmanuel Chailloux
IUI
2011
ACM
14 years 9 months ago
Predicting and compensating for lexicon access errors
Learning a foreign language is a long, error-prone process, and much of a learner’s time is effectively spent studying vocabulary. Many errors occur because words are only partl...
Lars Yencken, Timothy Baldwin