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ICANN
2010
Springer
15 years 3 months ago
Autonomous Generation of Internal Representations for Associative Learning
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Michaël Garcia Ortiz, Benjamin Dittes, Jannik...
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 2 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
ICASSP
2011
IEEE
14 years 8 months ago
Social norm and long-run learning in peer-to-peer networks
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
Yu Zhang, Mihaela van der Schaar
157
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 9 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
CORR
2002
Springer
117views Education» more  CORR 2002»
15 years 4 months ago
Contextual Normalization Applied to Aircraft Gas Turbine Engine Diagnosis
Diagnosing faults in aircraft gas turbine engines is a complex problem. It involves several tasks, including rapid and accurate interpretation of patterns in engine sensor data. W...
Peter D. Turney, Michael Halasz