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» Organizational memory in group decision making: use of const...
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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 10 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
WWW
2007
ACM
14 years 7 months ago
BOWiki - a Collaborative Annotation and Ontology Curation Framework
As the amount of data being generated in biology has increased, a major challenge has been how to store and represent this data in a way that makes it easily accessible to researc...
Michael Backhaus, Janet Kelso, Joshua Bacher, Hein...
SAB
2004
Springer
198views Optimization» more  SAB 2004»
13 years 11 months ago
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
ISSTA
2009
ACM
14 years 23 days ago
Precise pointer reasoning for dynamic test generation
Dynamic test generation consists of executing a program while gathering symbolic constraints on inputs from predicates encountered in branch statements, and of using a constraint ...
Bassem Elkarablieh, Patrice Godefroid, Michael Y. ...
CRYPTO
2007
Springer
132views Cryptology» more  CRYPTO 2007»
14 years 13 days ago
Secure Hybrid Encryption from Weakened Key Encapsulation
We put forward a new paradigm for building hybrid encryption schemes from constrained chosen-ciphertext secure (CCCA) key-encapsulation mechanisms (KEMs) plus authenticated symmet...
Dennis Hofheinz, Eike Kiltz