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» The Combining Classifier: To Train or Not to Train
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AAAI
2006
13 years 10 months ago
On Multi-Class Cost-Sensitive Learning
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
Zhi-Hua Zhou, Xu-Ying Liu
FLAIRS
2004
13 years 10 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin
FLAIRS
2004
13 years 10 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
ESANN
2006
13 years 10 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
DGO
2003
107views Education» more  DGO 2003»
13 years 10 months ago
Regulatory Information Management and Compliance Assistance
ct The REGNET Project aims to develop a formal information infrastructure for regulatory information management and compliance assistance. This paper discusses three components of ...
Shawn Kerrigan, Charles Heenan, Haoyi Wang, Kincho...