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NIPS
2004
15 years 2 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
85
Voted
NIPS
2001
15 years 2 months ago
A theory of neural integration in the head-direction system
Integration in the head-direction system is a computation by which horizontal angular head velocity signals from the vestibular nuclei are integrated to yield a neural representat...
Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian...
121
Voted
IJCAI
2003
15 years 2 months ago
Employing Trainable String Similarity Metrics for Information Integration
The problem of identifying approximately duplicate objects in databases is an essential step for the information integration process. Most existing approaches have relied on gener...
Mikhail Bilenko, Raymond J. Mooney
WSCG
2003
149views more  WSCG 2003»
15 years 2 months ago
Simulating Deformable Tools with Haptic Feedback in a Virtual Environment
Simulations for training and analysis incorporating haptic feedback are becoming more popular and the sophistication of these simulations is increasing. Many systems now allow a r...
Stephen D. Laycock, A. M. Day
94
Voted
ICONIP
1998
15 years 2 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann