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ICDCSW
2000
IEEE
15 years 10 months ago
Model-Based Multi-Modal Information Retrieval from Large Archives
In this paper, we describe a new paradigm for information retrieval in which the retrieval target is based on a model. Three types of models – linear, finite state, and knowledg...
Chung-Sheng Li, Yuan-Chi Chang, Lawrence D. Bergma...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 6 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 10 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
FMCO
2005
Springer
173views Formal Methods» more  FMCO 2005»
15 years 12 months ago
Cluster-Based LTL Model Checking of Large Systems
Abstract. In recent years a bundle of parallel and distributed algorithms for verification of finite state systems has appeared. We survey distributed-memory enumerative LTL mode...
Jiri Barnat, Lubos Brim, Ivana Cerná
IPPS
2003
IEEE
15 years 11 months ago
Remote Model Reduction of Very Large Linear Systems
We describe a prototype Web service for model reduction of very large-scale linear systems. Specifically, a userfriendly interface is designed so that model reduction can be easi...
Peter Benner, Rafael Mayo, Enrique S. Quintana-Ort...