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» Bundle Methods for Machine Learning
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96
Voted
ICML
2002
IEEE
16 years 3 months ago
Diffusion Kernels on Graphs and Other Discrete Input Spaces
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data types, such as strings. In this paper we propose a...
Risi Imre Kondor, John D. Lafferty
119
Voted
ICML
2000
IEEE
16 years 3 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
ALT
2006
Springer
15 years 11 months ago
Smooth Boosting Using an Information-Based Criterion
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
Kohei Hatano
128
Voted
ECML
2007
Springer
15 years 9 months ago
On Minimizing the Position Error in Label Ranking
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
Eyke Hüllermeier, Johannes Fürnkranz
129
Voted
UIC
2007
Springer
15 years 8 months ago
Devising a Context Selection-Based Reasoning Engine for Context-Aware Ubiquitous Computing Middleware
We propose a novel reasoning engine for context-aware ubiquitous computing middleware in this paper. Our reasoning engine supports both rulebased reasoning and machine learning rea...
Donghai Guan, Weiwei Yuan, Seong Jin Cho, Andrey G...