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128
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FSTTCS
2004
Springer
15 years 9 months ago
Learning Languages from Positive Data and a Finite Number of Queries
A computational model for learning languages in the limit from full positive data and a bounded number of queries to the teacher (oracle) is introduced and explored. Equivalence, ...
Sanjay Jain, Efim B. Kinber
95
Voted
ACE
2004
161views Education» more  ACE 2004»
15 years 5 months ago
Flexible Learning - Maximising Flexibility in a Subject with Large Student Numbers
In providing the introductory computing subject (topic) Information Technology 1A to approximately 800 students per annum in three different modes, a number of delivery mechanisms...
Robert Goodwin, Neville Williams
110
Voted
ICML
2000
IEEE
16 years 4 months ago
Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
Zu Whan Kim, Ramakant Nevatia
136
Voted
JMLR
2010
129views more  JMLR 2010»
14 years 10 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
140
Voted
CVPR
2004
IEEE
16 years 5 months ago
Learning Object Detection from a Small Number of Examples: The Importance of Good Features
Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around...
Kobi Levi, Yair Weiss