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» Machine-Learning Applications of Algorithmic Randomness
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ICML
2002
IEEE
16 years 2 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani
ALT
2009
Springer
15 years 10 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
MLG
2007
Springer
15 years 7 months ago
Learning Graph Matching
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as gr...
Alex J. Smola
HUC
2009
Springer
15 years 6 months ago
ViridiScope: design and implementation of a fine grained power monitoring system for homes
A key prerequisite for residential energy conservation is knowing when and where energy is being spent. Unfortunately, the current generation of energy reporting devices only prov...
Younghun Kim, Thomas Schmid, Zainul Charbiwala, Ma...
ECML
2001
Springer
15 years 6 months ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic