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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 8 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
KESAMSTA
2010
Springer
16 years 9 days ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
ML
2002
ACM
141views Machine Learning» more  ML 2002»
15 years 7 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
CC
2009
Springer
153views System Software» more  CC 2009»
16 years 8 months ago
Register Spilling and Live-Range Splitting for SSA-Form Programs
Register allocation decides which parts of a variable's live range are held in registers and which in memory. The compiler inserts spill code to move the values of variables b...
Matthias Braun, Sebastian Hack
COLING
2008
15 years 9 months ago
PNR2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization
Query-oriented update summarization is an emerging summarization task very recently. It brings new challenges to the sentence ranking algorithms that require not only to locate th...
Wenjie Li, Furu Wei, Qin Lu, Yanxiang He