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» Can Document Selection Help Semi-supervised Learning
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JOT
2007
170views more  JOT 2007»
13 years 9 months ago
Enough of Processes - Lets do Practices
All modern software development processes try to help project teams conduct their work. While there are some important differences between them, the commonalities are far greater ...
Ivar Jacobson, Pan Wei Ng, Ian Spence
IJCAI
2007
13 years 11 months ago
Optimistic Active-Learning Using Mutual Information
An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
Yuhong Guo, Russell Greiner
ICDE
2008
IEEE
113views Database» more  ICDE 2008»
14 years 4 months ago
A rank-rewrite framework for summarizing XML documents
Abstract— With XML becoming a standard for data representation and exchange, we can expect to see large scale repositories and warehouses of XML data. In order for users to under...
Maya Ramanath, Kondreddi Sarath Kumar
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 11 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
ICML
2000
IEEE
14 years 10 months ago
Meta-Learning by Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....