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UAI
2003
15 years 8 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
JMLR
2002
117views more  JMLR 2002»
15 years 6 months ago
Learning to Construct Fast Signal Processing Implementations
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
Bryan Singer, Manuela M. Veloso
SSDBM
2005
IEEE
100views Database» more  SSDBM 2005»
16 years 9 days ago
An Information Theoretic Model for Database Alignment
As with many large organizations, the Government's data is split in many different ways and is collected at different times by different people. The resulting massive data he...
Patrick Pantel, Andrew Philpot, Eduard H. Hovy
ILP
2007
Springer
16 years 26 days ago
Applying Inductive Logic Programming to Process Mining
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Serg...
MIR
2004
ACM
125views Multimedia» more  MIR 2004»
16 years 5 days ago
Autonomous visual model building based on image crawling through internet search engines
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun