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» Learning Rules from Distributed Data
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AAAI
2006
15 years 4 months ago
An Efficient Algorithm for Local Distance Metric Learning
Learning application-specific distance metrics from labeled data is critical for both statistical classification and information retrieval. Most of the earlier work in this area h...
Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu
CORR
2007
Springer
172views Education» more  CORR 2007»
15 years 3 months ago
A Data-Parallel Version of Aleph
This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or di...
Stasinos Konstantopoulos
INFOCOM
2005
IEEE
15 years 8 months ago
TCAM-based distributed parallel packet classification algorithm with range-matching solution
Packet Classification (PC) has been a critical data path function for many emerging networking applications. An interesting approach is the use of TCAM to achieve deterministic, hi...
Kai Zheng, Hao Che, Zhijun Wang, Bin Liu
PAMI
2006
136views more  PAMI 2006»
15 years 3 months ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller
IJCAI
1989
15 years 4 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler