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» Analyzing the Errors of Unsupervised Learning
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NPL
2006
172views more  NPL 2006»
13 years 7 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 11 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
CIBCB
2005
IEEE
14 years 1 months ago
Toward Protein Structure Analysis with Self-Organizing Maps
- Establishing structure-function relationships on the proteomic scale is a unique challenge faced by bioinformatics and molecular biosciences. Large protein families represent nat...
Lutz Hamel, Gongqin Sun, Jing Zhang
JMLR
2010
179views more  JMLR 2010»
13 years 2 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
AAAI
2012
11 years 9 months ago
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
Swirls of ocean currents known as ocean eddies are a crucial component of the ocean’s dynamics. In addition to dominating the ocean’s kinetic energy, eddies play a significan...
James H. Faghmous, Yashu Chamber, Shyam Boriah, Fr...