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» Complexity Dimensions and Learnability
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COLT
2005
Springer
14 years 3 months ago
Learning a Hidden Hypergraph
We consider the problem of learning a hypergraph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden hypergr...
Dana Angluin, Jiang Chen
GRAPHICSINTERFACE
2009
13 years 7 months ago
Exploring melodic variance in rhythmic haptic stimulus design
Haptic icons are brief, meaningful tactile or force stimuli designed to support the communication of information through the often-underutilized haptic modality. Challenges to pro...
Bradley A. Swerdfeger, Jennifer Fernquist, Thomas ...
ICIC
2009
Springer
14 years 2 months ago
Dimension Reduction Using Semi-Supervised Locally Linear Embedding for Plant Leaf Classification
Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant...
Shanwen Zhang, Kwok-Wing Chau
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 8 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
NIPS
2004
13 years 11 months ago
Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments
A reactive environment is one that responds to the actions of an agent rather than evolving obliviously. In reactive environments, experts algorithms must balance exploration and ...
Daniela Pucci de Farias, Nimrod Megiddo