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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 5 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
JAIR
2008
157views more  JAIR 2008»
15 years 6 months ago
Qualitative System Identification from Imperfect Data
Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to ...
George Macleod Coghill, Ashwin Srinivasan, Ross D....
ALT
2000
Springer
16 years 3 months ago
Learning Recursive Concepts with Anomalies
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describ...
Gunter Grieser, Steffen Lange, Thomas Zeugmann
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 10 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
GLOBECOM
2010
IEEE
15 years 4 months ago
Economics of Technological Games among Telecommunication Service Providers
The telecommunication world keeps evolving, with the development of new technologies, and operators have to wonder if investing in the costly infrastructures and potential licenses...
Patrick Maillé, Bruno Tuffin, Jean-Marc Vig...