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Publication
233views
14 years 5 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 9 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
EDBT
2012
ACM
308views Database» more  EDBT 2012»
13 years 9 months ago
Transactional stream processing
Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query executi...
Irina Botan, Peter M. Fischer, Donald Kossmann, Ne...
WWW
2009
ACM
16 years 7 months ago
How opinions are received by online communities: a case study on amazon.com helpfulness votes
There are many on-line settings in which users publicly express opinions. A number of these offer mechanisms for other users to evaluate these opinions; a canonical example is Ama...
Cristian Danescu-Niculescu-Mizil, Gueorgi Kossinet...
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 7 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...