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» Learning Relations Using Collocations
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129
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COLT
2006
Springer
15 years 4 months ago
Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints
There are two main families of on-line algorithms depending on whether a relative entropy or a squared Euclidean distance is used as a regularizer. The difference between the two f...
Manfred K. Warmuth
PSD
2004
Springer
108views Database» more  PSD 2004»
15 years 8 months ago
Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
The development of new disclosure protection techniques is useful only insofar as those techniques are adopted by statistical agencies. In order for technical experts in disclosure...
Nicholas H. Greenia
166
Voted
BMCBI
2011
14 years 6 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
ICRA
2005
IEEE
110views Robotics» more  ICRA 2005»
15 years 8 months ago
Simultaneous Calibration of Action and Sensor Models on a Mobile Robot
Abstract— This paper presents a technique for the Simultaneous Calibration of Action and Sensor Models (SCASM) on a mobile robot. While previous approaches to calibration make us...
Daniel Stronger, Peter Stone
JMLR
2011
188views more  JMLR 2011»
14 years 9 months ago
Linking Granger Causality and the Pearl Causal Model with Settable Systems
The causal notions embodied in the concept of Granger causality have been argued to belong to a different category than those of Judea Pearl’s Causal Model, and so far their re...
Halbert White, Karim Chalak, Xun Lu