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» On-line Algorithms in Machine Learning
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135
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ALT
2007
Springer
16 years 12 days ago
On Calibration Error of Randomized Forecasting Algorithms
It has been recently shown that calibration with an error less than ∆ > 0 is almost surely guaranteed with a randomized forecasting algorithm, where forecasts are obtained by...
Vladimir V. V'yugin
118
Voted
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 3 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
103
Voted
GEM
2008
15 years 4 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
ISBI
2002
IEEE
16 years 4 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
15 years 9 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz