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» Issues in evaluation of stream learning algorithms
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CAEPIA
2011
Springer
12 years 6 months ago
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
Javier Insa-Cabrera, David L. Dowe, José He...
DIS
2010
Springer
13 years 4 months ago
Sentiment Knowledge Discovery in Twitter Streaming Data
Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, a...
Albert Bifet, Eibe Frank
ICML
2010
IEEE
13 years 7 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
ICDE
2007
IEEE
103views Database» more  ICDE 2007»
14 years 7 months ago
TCAM-conscious Algorithms for Data Streams
Recently, there has been significant interest in developing space and time efficient solutions for answering continuous summarization queries over data streams. While these techni...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
EDBTW
2006
Springer
13 years 10 months ago
Using Temporal Semantics for Live Media Stream Queries
Querying live media streams is a challenging problem that becomes an essential requirement in a growing number of applications. We address the problem of evaluating continuous quer...
Bin Liu, Amarnath Gupta, Ramesh Jain