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» Machine-Learning Applications of Algorithmic Randomness
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PR
2007
129views more  PR 2007»
13 years 9 months ago
EROS: Ensemble rough subspaces
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li
CSC
2009
13 years 10 months ago
Improving Random Walk Performance
Random walk simulation is employed in many experimental algorithmic applications. Efficient execution on modern computer architectures demands that the random walk be implemented t...
Ilya Safro, Paul D. Hovland, Jaewook Shin, Michell...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 3 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 10 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
NIPS
2007
13 years 11 months ago
Stability Bounds for Non-i.i.d. Processes
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
Mehryar Mohri, Afshin Rostamizadeh