723 search results - page 104 / 145 » Learning a Hidden Subgraph |
ACL
2008
13 years 10 months ago
2008
Parse-tree paths are commonly used to incorporate information from syntactic parses into NLP systems. These systems typically treat the paths as atomic (or nearly atomic) features...
NIPS
2008
13 years 10 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
AIIDE
2006
13 years 10 months ago
2006
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
IJCAI
1997
13 years 10 months ago
1997
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
AAMAS
2010
Springer
13 years 9 months ago
2010
Springer
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...