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ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
16 years 13 days ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
ITS
2010
Springer
166views Multimedia» more  ITS 2010»
15 years 11 months ago
Socially Capable Conversational Tutors Can Be Effective in Collaborative Learning Situations
Tutorial Dialog has been shown to be effective in supporting both individual as well as group learners. However, unlike the case with individual learners, teams of learners often i...
Rohit Kumar, Hua Ai, Jack L. Beuth, Carolyn Penste...
AAAI
2007
15 years 9 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
AAAI
2008
15 years 9 months ago
Learning Grasp Strategies with Partial Shape Information
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one could use the model to estimate the stability and...
Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng
AAAI
2008
15 years 9 months ago
Constraint Projections for Ensemble Learning
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang ...