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» A Framework for Multiple-Instance Learning
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SARA
2005
Springer
15 years 10 months ago
The Cruncher: Automatic Concept Formation Using Minimum Description Length
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
Marc Pickett, Tim Oates
143
Voted
ICRA
2002
IEEE
131views Robotics» more  ICRA 2002»
15 years 9 months ago
Acquisition and Embodiment of Motion Elements in Closed Mimesis Loop
It is needed for humanoid to acquire not only just a trajectory but also aim of the behavior and symbolic information during behavior development. We have proposed the mimesis sys...
Tetsunari Inamura, Iwaki Toshima, Yoshihiko Nakamu...
ICML
1996
IEEE
15 years 8 months ago
Second Tier for Decision Trees
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...
Miroslav Kubat
120
Voted
HICSS
2009
IEEE
103views Biometrics» more  HICSS 2009»
15 years 8 months ago
Automated Acceptance Testing Using Fit
Automated acceptance testing is a new and promising agile testing approach. Fit is the most established technical framework for specifying and executing acceptance tests which, id...
Geir Kjetil Hanssen, Børge Haugset
NIPS
2008
15 years 6 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...