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» Algorithmic randomness of continuous functions
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ISCAS
2006
IEEE
96views Hardware» more  ISCAS 2006»
15 years 3 months ago
On the initialization of the DNMF algorithm
— A subspace supervised learning algorithm named Discriminant Non-negative Matrix Factorization (DNMF) has been recently proposed for classifying human facial expressions. It dec...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
TCS
2010
14 years 8 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel
EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 2 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
FCT
1991
Springer
15 years 1 months ago
The Complexity of Computing Maximal Word Functions
Maximal word functions occur in data retrieval applications and have connections with ranking problems, which in turn were rst investigated in relation to data compression 21 . By ...
Danilo Bruschi, Giovanni Pighizzini
NIPS
2003
14 years 11 months ago
Gene Expression Clustering with Functional Mixture Models
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
Darya Chudova, Christopher E. Hart, Eric Mjolsness...