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GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
15 years 9 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
ICONIP
2004
15 years 7 months ago
The Most Robust Loss Function for Boosting
Boosting algorithm is understood as the gradient descent algorithm of a loss function. It is often pointed out that the typical boosting algorithm, Adaboost, is seriously affected ...
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguc...
TCS
2008
15 years 6 months ago
Curves and surfaces represented by polynomial support functions
This paper studies shapes (curves and surfaces) which can be described by (piecewise) polynomial support functions. The class of these shapes is closed under convolutions, offsett...
Zbynek Sír, Jens Gravesen, Bert Jüttle...
ARITH
2009
IEEE
16 years 1 months ago
Computation of Decimal Transcendental Functions Using the CORDIC Algorithm
In this work we propose new decimal floating-point CORDIC algorithms for transcendental function evaluation. We show how these algorithms are mapped to a state of the art Decimal...
Álvaro Vázquez, Julio Villalba, Elis...
LOPSTR
2007
Springer
16 years 10 days ago
Preserving Sharing in the Partial Evaluation of Lazy Functional Programs
Abstract. The goal of partial evaluation is the specialization of programs w.r.t. part of their input data. Although this technique is already well-known in the context of function...
Sebastian Fischer, Josep Silva, Salvador Tamarit, ...