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» Symbolic data analysis tools for recommendation systems
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IDA
2006
Springer
13 years 5 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
13 years 11 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
CAV
2004
Springer
93views Hardware» more  CAV 2004»
13 years 10 months ago
Symbolic Parametric Safety Analysis of Linear Hybrid Systems with BDD-Like Data-Structures
—We introduce a new BDD-like data structure called Hybrid-Restriction Diagrams (HRDs) for the representation and manipulation of linear hybrid automata (LHA) state-spaces and pre...
Farn Wang
IJCAI
2003
13 years 6 months ago
Case-Based Recommender Systems: A Unifying View
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
Fabiana Lorenzi, Francesco Ricci
FORTE
2004
13 years 6 months ago
Symbolic Performance and Dependability Evaluation with the Tool CASPA
This paper describes the tool CASPA, a new performance evaluation tool which is based on a Markovian stochastic process algebra. CASPA uses multi-terminal binary decision diagrams ...
Matthias Kuntz, Markus Siegle, Edith Werner