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» Generalization Improvement in Multi-Objective Learning
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KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 8 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
TSMC
1998
97views more  TSMC 1998»
13 years 7 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind
COLT
2005
Springer
14 years 1 months ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...
NIPS
2007
13 years 9 months ago
A learning framework for nearest neighbor search
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
Lawrence Cayton, Sanjoy Dasgupta
CRIWG
1998
13 years 9 months ago
A Cooperation Model for Teaching/Learning Modeling Disciplines
The use of new technology must be combined with modern teaching practices to be effective. Collaborative learning is a general term employed for a variety of classroom practices d...
Karin Becker, L. Zanella