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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
15 years 5 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
ICMCS
2006
IEEE
120views Multimedia» more  ICMCS 2006»
16 years 1 months ago
Video Encoding and Splicing for Tune-in Time Reduction in IP Datacasting (IPDC) Over DVB-H
A novel video encoding and splicing method is proposed which minimizes the tune-in time of “channel zapping”, i.e. changing from one audiovisual service to another, in IPDC ov...
Mehdi Rezaei, Miska M. Hannuksela, Moncef Gabbouj
AAAI
2007
15 years 9 months ago
Autonomous Development of a Grounded Object Ontology by a Learning Robot
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
Joseph Modayil, Benjamin Kuipers
ICML
2005
IEEE
16 years 8 months ago
A comparison of tight generalization error bounds
We investigate the empirical applicability of several bounds (a number of which are new) on the true error rate of learned classifiers which hold whenever the examples are chosen ...
John Langford, Matti Kääriäinen

Publication
352views
16 years 3 months ago
Efficient methods for near-optimal sequential decision making under uncertainty
This chapter discusses decision making under uncertainty. More specifically, it offers an overview of efficient Bayesian and distribution-free algorithms for making near-optimal se...
Christos Dimitrakakis