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PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
15 years 4 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
156
Voted
EUROCOLT
1999
Springer
15 years 10 months ago
Mind Change Complexity of Learning Logic Programs
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
Sanjay Jain, Arun Sharma
AAAI
2012
13 years 8 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
ML
2002
ACM
133views Machine Learning» more  ML 2002»
15 years 5 months ago
Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates
For two-class datasets, we provide a method for estimating the generalization error of a bag using out-of-bag estimates. In bagging, each predictor (single hypothesis) is learned ...
Tom Bylander
IADIS
2004
15 years 7 months ago
Learning with Technology: The Way we Think in the Digital ERA
Operating modern digital environments, as computer software and digital instruments require users to master a large variety of cognitive, motor, sociological, and emotional skills...
Yoram Eshet