798 search results - page 19 / 160 » Perceptual Learning and Abstraction in Machine Learning |
AIME
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...
ACL
2009
13 years 6 months ago
2009
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
ECML
2004
Springer
14 years 2 months ago
2004
Springer
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
SAT
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...