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COLING
1996
15 years 5 months ago
Decision Tree Learning Algorithm with Structured Attributes: Application to Verbal Case Frame Acquisition
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
Hideki Tanaka
JFR
2006
77views more  JFR 2006»
15 years 3 months ago
Learning from examples in unstructured, outdoor environments
In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard...
Jie Sun, Tejas R. Mehta, David Wooden, Matthew Pow...
NECO
2008
112views more  NECO 2008»
15 years 3 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
ICHL
2009
165views Education» more  ICHL 2009»
15 years 1 months ago
Learning Knowledge Management Concepts via the Use of a Scenario Building Tool on an E-Learning Platform
As e-learning or blended learning is more and more popular these days, but with the lack of certain tools, most of the e-learning objects are just simple power point files, pdf fil...
Teresa B. Y. Liew, Eric Tsui, Patrick S. W. Fong, ...
159
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ICML
2004
IEEE
16 years 4 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos