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ECAI
2004
Springer
14 years 3 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
IWOMP
2009
Springer
14 years 2 months ago
Dynamic Task and Data Placement over NUMA Architectures: An OpenMP Runtime Perspective
Abstract. Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-...
François Broquedis, Nathalie Furmento, Bric...
CICLING
2001
Springer
14 years 2 months ago
Automatic Topic Identification Using Ontology Hierarchy
This paper proposes a method of using ontology hierarchy in automatic topic identification. The fundamental idea behind this work is to exploit an ontology hierarchical structure i...
Sabrina Tiun, Rosni Abdullah, Tang Enya Kong
IWVF
2001
Springer
14 years 2 months ago
Grouping Character Shapes by Means of Genetic Programming
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
ECAI
1998
Springer
14 years 2 months ago
Optimal Scheduling of Dynamic Progressive Processing
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...
Abdel-Illah Mouaddib, Shlomo Zilberstein