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ICML
2003
IEEE
16 years 6 months ago
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
Yi Zhang, Wei Xu, James P. Callan
ISSTA
2006
ACM
15 years 12 months ago
APTE: automated pointcut testing for AspectJ programs
Aspect-Oriented Programming (AOP) has been proposed as a methodology that provides new modularization of software systems by allowing encapsulation of cross-cutting concerns. Aspe...
Prasanth Anbalagan, Tao Xie
ICIP
1999
IEEE
15 years 10 months ago
The Shape of Illusory Figures
We have been developing a stochastic model for figure-ground separation[9][3][12]. The model selects/constructs theforeground with preferenceforfigures with "moreconvex"...
Davi Geiger, Krishnan Kumaran, Hsing-Kuo Pao, Nava...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
16 years 17 days ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 6 months ago
BLOSOM: a framework for mining arbitrary boolean expressions
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishna...