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ICML
2004
IEEE
16 years 7 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
IAT
2009
IEEE
16 years 1 months ago
Clustering with Constrained Similarity Learning
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
Masayuki Okabe, Seiji Yamada
161
Voted
IROS
2009
IEEE
117views Robotics» more  IROS 2009»
16 years 1 months ago
Joint calibration of multiple sensors
— Many calibration methods calibrate a pair of sensors at a time. For robotic systems with many sensors, they are often time-consuming to use, and can also lead to inaccurate res...
Quoc V. Le, Andrew Y. Ng
163
Voted
DATE
2003
IEEE
92views Hardware» more  DATE 2003»
16 years 3 days ago
Local Search for Boolean Relations on the Basis of Unit Propagation
We propose a method for local search of Boolean relations relating variables of a CNF formula. The method is to branch on small subsets of the set of CNF variables and to analyze ...
Yakov Novikov
208
Voted
ECMDAFA
2007
Springer
156views Hardware» more  ECMDAFA 2007»
15 years 10 months ago
Human Comprehensible and Machine Processable Specifications of Operational Semantics
Abstract. This paper presents a method to describe the operational semantics of languages based on their meta-model. We combine the established high-level modelling languages MOF, ...
Markus Scheidgen, Joachim Fischer