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ECML
2006
Springer
15 years 8 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
EDBT
2004
ACM
155views Database» more  EDBT 2004»
16 years 4 months ago
Processing Unions of Conjunctive Queries with Negation under Limited Access Patterns
We study the problem of answering queries over sources with limited access patterns. The problem is to decide whether a given query Q is feasible, i.e., equivalent to an executable...
Alan Nash, Bertram Ludäscher
ICANN
2007
Springer
15 years 10 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
AUSAI
2003
Springer
15 years 9 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
MVA
2000
15 years 4 months ago
A golden-template self-generating method for patterned wafer inspection
This paper presents a novel golden template self-generating technique for detecting possible defects in periodic two-dimensional wafer images. A golden template of the patterned w...
Pin Xie, Sheng Uei Guan