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SAC
2009
ACM
15 years 4 months ago
Capturing truthiness: mining truth tables in binary datasets
We introduce a new data mining problem: mining truth tables in binary datasets. Given a matrix of objects and the properties they satisfy, a truth table identifies a subset of pr...
Clifford Conley Owens III, T. M. Murali, Naren Ram...
MODELS
2009
Springer
15 years 4 months ago
Feature-oriented programming with Ruby
Features identify core characteristics of software in order to produce families of programs. Through configuration, different variants of a program can be composed. Our approach...
Sebastian Günther, Sagar Sunkle
JCDL
2009
ACM
121views Education» more  JCDL 2009»
15 years 4 months ago
Improving historical research by linking digital library information to a global genealogical database
Journals, letters, and other writings are of great value to historians and those who research their own family history; however, it can be difficult to find writings by specific...
Douglas J. Kennard, William B. Lund, Bryan S. Mors...
SMA
2009
ACM
219views Solid Modeling» more  SMA 2009»
15 years 4 months ago
Log-aesthetic space curve segments
For designing aesthetic surfaces, such as the car bodies, it is very important to use aesthetic curves as characteristic lines. In such curves, the curvature should be monotonical...
Norimasa Yoshida, Ryo Fukuda, Takafumi Saito
COLT
2004
Springer
15 years 3 months ago
Replacing Limit Learners with Equally Powerful One-Shot Query Learners
Different formal learning models address different aspects of human learning. Below we compare Gold-style learning—interpreting learning as a limiting process in which the lear...
Steffen Lange, Sandra Zilles