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NIPS
2008
14 years 11 months ago
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
The inverse dynamics problem for a robotic manipulator is to compute the torques needed at the joints to drive it along a given trajectory; it is beneficial to be able to learn th...
Kian Ming Adam Chai, Christopher K. I. Williams, S...
NIPS
2007
14 years 11 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
AIPS
2006
14 years 11 months ago
Learning to Do HTN Planning
We describe HDL, an algorithm that learns HTN domain descriptions by examining plan traces produced by an expert problem-solver. Prior work on learning HTN methods requires that a...
Okhtay Ilghami, Dana S. Nau, Héctor Mu&ntil...
IFIP3
2003
114views Education» more  IFIP3 2003»
14 years 11 months ago
Enabling Postgraduate Learning in the Workplace
: This paper describes a research project that was carried out to determine and evaluate the learning environment customisations required to support selfmotivated, able, and experi...
Nicola Beasley, John A. Ford, Nils Tomes
IJCAI
2003
14 years 11 months ago
Qualitative Map Learning Based on Co-visibility of Objects
This paper proposes a unique map learning method for mobile robots based on the co-visibility infor­ mation of objects i.e., the information on whether two objects are visible at...
Takehisa Yairi, Koichi Hori