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» Evaluating algorithms that learn from data streams
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SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
16 years 3 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson
ICML
2004
IEEE
16 years 7 months ago
A multiplicative up-propagation algorithm
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
VLDB
2007
ACM
118views Database» more  VLDB 2007»
16 years 6 months ago
Inferring XML Schema Definitions from XML Data
Although the presence of a schema enables many optimizations for operations on XML documents, recent studies have shown that many XML documents in practice either do not refer to ...
Geert Jan Bex, Frank Neven, Stijn Vansummeren
NIPS
1994
15 years 7 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
EDBT
2004
ACM
147views Database» more  EDBT 2004»
16 years 6 months ago
Efficient Query Evaluation over Compressed XML Data
XML suffers from the major limitation of high redundancy. Even if compression can be beneficial for XML data, however, once compressed, the data can be seldom browsed and queried i...
Andrei Arion, Angela Bonifati, Gianni Costa, Sandr...