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» Machine-Learning Applications of Algorithmic Randomness
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ECML
2005
Springer
14 years 2 months ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
MLDM
1999
Springer
14 years 1 months ago
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
Irwin King, Tak-Kan Lau
COLING
2008
13 years 10 months ago
Multilingual Assistant for Medical Diagnosing and Drug Prescription Based on Category Ranking
This paper presents a real-world application for assisting medical diagnosis and drug prescription, which relies on the exclusive use of machine learning techniques. We have autom...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
ICML
2010
IEEE
13 years 10 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
MLDM
2008
Springer
13 years 9 months ago
Distributed Monitoring of Frequent Items
Monitoring frequently occuring items is a recurring task in a variety of applications. Although a number of solutions have been proposed there has been few to address the problem i...
Robert Fuller, Mehmed M. Kantardzic