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» A Study of Empirical Learning for an Involved Problem
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PPSN
1990
Springer
15 years 1 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
13 years 5 months ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
IADIS
2004
14 years 11 months ago
Mastering the mystery through 'SAIQ' metrics of user experience in telecollaboration business systems
In the preparation of technology transition, the contextual and alternative definitions of the usability heuristics of multifaceted role of the best practice methodology of Teleco...
Venkatesh Mahadevan, Zenon Chaczko, Robin Braun
GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
15 years 1 months ago
Using code metric histograms and genetic algorithms to perform author identification for software forensics
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
Robert Charles Lange, Spiros Mancoridis
CVPR
2006
IEEE
15 years 11 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick