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» Evaluating algorithms that learn from data streams
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SODA
2008
ACM
111views Algorithms» more  SODA 2008»
15 years 1 months ago
On distance to monotonicity and longest increasing subsequence of a data stream
In this paper we consider problems related to the sortedness of a data stream. First we investigate the problem of estimating the distance to monotonicity; given a sequence of len...
Funda Ergün, Hossein Jowhari
MLDM
2005
Springer
15 years 6 months ago
Statistical Supports for Frequent Itemsets on Data Streams
Abstract. A statistical technique is developed for estimating the support of itemsets on data streams, regardless of the size of the data stored. This technique, which is computati...
Pierre-Alain Laur, Jean-Emile Symphor, Richard Noc...
94
Voted
COGSCI
2002
99views more  COGSCI 2002»
15 years 10 days ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
JMLR
2006
103views more  JMLR 2006»
15 years 14 days ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
96
Voted
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
15 years 4 months ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...