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» On learning algorithm selection for classification
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AI
2001
Springer
14 years 1 days ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
AAAI
2006
13 years 9 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson
AAAI
2000
13 years 9 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
ICIP
1998
IEEE
14 years 9 months ago
Color Pixels Classification in an Hybrid Color Space
In this paper, we describe a new approach for color image segmentation which is considered as a problem of pixels classification. The algorithm is applied to classify pixels of so...
Jack-Gérard Postaire, Ludovic Macaire, Nico...
ACL
2009
13 years 5 months ago
Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm
Most of previous approaches to automatic prosodic event detection are based on supervised learning, relying on the availability of a corpus that is annotated with the prosodic lab...
Je Hun Jeon, Yang Liu