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» Models of active learning in group-structured state spaces
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AH
2000
Springer
15 years 2 months ago
Exploratory Activity Support Based on a Semantic Feature Map
Abstract. In this paper, we propose a framework based on a subsymbolic approach for the support of exploratory activities in a hyperspace. By using it, it is possible to express th...
Mizue Kayama, Toshio Okamoto, Alexandra I. Cristea
90
Voted
ASPDAC
2005
ACM
130views Hardware» more  ASPDAC 2005»
14 years 11 months ago
Stability analysis of active clock deskewing systems using a control theoretic approach
— In this paper, a methodology for analyzing closed loop clock distribution and active deskewing networks is proposed. An active clock distribution and deskewing network is model...
Vinil Varghese, Tom Chen, Peter Young
NIPS
2007
14 years 11 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
15 years 2 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
ATAL
2007
Springer
15 years 1 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso