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JMLR
2010
144views more  JMLR 2010»
14 years 10 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
DIGITEL
2008
IEEE
15 years 9 months ago
Games as Skins for Online Tests
: Games play a dual role: they test the player’s competence, and at the same time provide learning opportunities. They offer a simple form of a reward – the pleasure of playing...
Srinivasan Ramani, Venkatagiri Sirigiri, Nila Lohi...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 9 months ago
A learning framework for generic sensory-motor maps
— We present a new approach to cope with unknown redundant systems. For this we present i) an online algorithm that learns general input-output restrictions and, ii) a method tha...
Manuel Lopes, Bruno D. Damas
ECCV
2008
Springer
16 years 5 months ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang
ICDE
2008
IEEE
165views Database» more  ICDE 2008»
16 years 4 months ago
Online Failure Forecast for Fault-Tolerant Data Stream Processing
In this paper, we present a new online failure forecast system to achieve predictive failure management for fault-tolerant data stream processing. Different from previous reactive ...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...