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» Learning from examples in unstructured, outdoor environments
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ECML
2007
Springer
14 years 1 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
JMLR
2008
88views more  JMLR 2008»
13 years 7 months ago
Universal Multi-Task Kernels
In this paper we are concerned with reproducing kernel Hilbert spaces HK of functions from an input space into a Hilbert space Y, an environment appropriate for multi-task learnin...
Andrea Caponnetto, Charles A. Micchelli, Massimili...
AROBOTS
1999
118views more  AROBOTS 1999»
13 years 7 months ago
GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation
We have designed a research platform for a perceptually guided robot, which also serves as a demonstrator for a coming generation of service robots. In order to operate semi-autono...
Mark Becker, Efthimia Kefalea, Eric Maël, Chr...
ITS
2000
Springer
128views Multimedia» more  ITS 2000»
13 years 11 months ago
Active Learner Modelling
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
ICRA
1999
IEEE
138views Robotics» more  ICRA 1999»
13 years 11 months ago
Efficient Topological Exploration
We consider the robot exploration of a planar graphlike world. The robot's goal is to build a complete map of its environment. The environment is modeled as an arbitrary undi...
Ioannis M. Rekleitis, Vida Dujmovic, Gregory Dudek