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» Relational Learning by Imitation
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110
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JAIR
2006
110views more  JAIR 2006»
15 years 20 days ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
115
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ECCC
2007
99views more  ECCC 2007»
15 years 20 days ago
An Exponential Time/Space Speedup For Resolution
Satisfiability algorithms have become one of the most practical and successful approaches for solving a variety of real-world problems, including hardware verification, experime...
Philipp Hertel, Toniann Pitassi
PAMI
2008
179views more  PAMI 2008»
15 years 19 days ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos
91
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PAMI
2006
147views more  PAMI 2006»
15 years 19 days ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
98
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IIE
2007
78views more  IIE 2007»
15 years 18 days ago
Novices' Progress in Introductory Programming Courses
This paper presents an approach for educators to evaluate student progress throughout a course, and not merely based on a final exam. We introduce progress reports and describe ho...
Linda Mannila