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» The Expressive Rate of Constraints
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TCSB
2008
13 years 10 months ago
Clustering Time-Series Gene Expression Data with Unequal Time Intervals
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Luis Rueda, Ataul Bari, Alioune Ngom
NOCS
2010
IEEE
13 years 8 months ago
Physical vs. Virtual Express Topologies with Low-Swing Links for Future Many-Core NoCs
The number of cores present on-chip is increasing rapidly. The on-chip network that connects these cores needs to scale efficiently. The topology of on-chip networks is an importan...
Chia-Hsin Owen Chen, Niket Agarwal, Tushar Krishna...
AIIA
2009
Springer
14 years 4 months ago
Ontology-Driven Co-clustering of Gene Expression Data
Abstract. The huge volume of gene expression data produced by microarrays and other high-throughput techniques has encouraged the development of new computational techniques to eva...
Francesca Cordero, Ruggero G. Pensa, Alessia Visco...
EDBT
2009
ACM
85views Database» more  EDBT 2009»
14 years 2 months ago
Expressive, yet tractable XML keys
Constraints are important for a variety of XML recommendations and applications. Consequently, there are numerous opportunities for advancing the treatment of XML semantics. In pa...
Sven Hartmann, Sebastian Link
AAAI
2007
14 years 10 days ago
Answering Regular Path Queries in Expressive Description Logics: An Automata-Theoretic Approach
Expressive Description Logics (DLs) have been advocated as formalisms for modeling the domain of interest in various application areas. An important requirement is the ability to ...
Diego Calvanese, Thomas Eiter, Magdalena Ortiz