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CGF
2005
252views more  CGF 2005»
15 years 2 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
ICDM
2010
IEEE
178views Data Mining» more  ICDM 2010»
15 years 1 months ago
Exploiting Unlabeled Data to Enhance Ensemble Diversity
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
Min-Ling Zhang, Zhi-Hua Zhou
ACL
2012
13 years 5 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
IROS
2008
IEEE
165views Robotics» more  IROS 2008»
15 years 9 months ago
Mutual development of behavior acquisition and recognition based on value system
Abstract. Both self-learning architecture (embedded structure) and explicit/implicit teaching from other agents (environmental design issue) are necessary not only for one behavior...
Yasutake Takahashi, Yoshihiro Tamura, Minoru Asada
ICMI
2004
Springer
183views Biometrics» more  ICMI 2004»
15 years 8 months ago
Agent and library augmented shared knowledge areas (ALASKA)
This paper reports on an NSF-funded effort now underway to integrate three learning technologies that have emerged and matured over the past decade; each has presented compelling ...
Eric R. Hamilton