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ENGL
2007
87views more  ENGL 2007»
15 years 4 months ago
Learning of Partial Languages
In this paper we introduce a finite automaton called partial finite automaton to recognize partial languages. We have defined three classes of partial languages, viz., local pa...
K. Sasikala, V. Rajkumar Dare, D. G. Thomas
NIPS
2004
15 years 6 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
ALT
1998
Springer
15 years 9 months ago
Synthesizing Learners Tolerating Computable Noisy Data
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of recursive languages (by definition) ...
John Case, Sanjay Jain
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 5 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
AIME
2007
Springer
15 years 11 months ago
Machine Learning Techniques for Decision Support in Anesthesia
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...
Olivier Caelen, Gianluca Bontempi, Luc Barvais