Genetic_Programming_Theory_and_Practice_XIII
22 A. Elyasaf et al. Keywords Genetic algorithms • Genetic programming • Hyper heuristic 1 Introduction 1.1 RNA Structural Motif ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 23 In RNA studies, structural conservation serves as a strong evide ...
24 A. Elyasaf et al. (which takes the heuristic function with the maximal value). However, when we do not need to guarantee opti ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 25 We present a novel approach the task of mining RNA sequence-str ...
26 A. Elyasaf et al. a very well-conserved sequence, which is rarely the case with swiftly evolving ncRNAs. The second approach ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 27 the stringent cutoff thresholds. Our search is more informed, an ...
28 A. Elyasaf et al. et al. used low-level heuristics and domain knowledge as well. For the sliding-tile puzzle, for example, th ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 29 3.1 Casting the Problem of Mining RNA Sequence-Structure Motifs ...
30 A. Elyasaf et al. 3.3 Gather and Define Domain Knowledge and Low-Level Heuristics for this Domain There are three different t ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 31 3.3.1 Stem Edge Features As described in Sect.2.1,Jietal.( 2004 ...
32 A. Elyasaf et al. 3.4 Learning Hyper Heuristics Using HH-Evolver Combining several heuristics to get a more accurate one is c ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 33 Standard GA (Genetic Algorithm) This type of hyper-heuristic onl ...
34 A. Elyasaf et al. Thus, withNbeing the number of rules used, each individual in the evolving population containsN ConditionGP ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 35 The fitness score is then calculated, incorporating three elemen ...
36 A. Elyasaf et al. of these stems. We believe this novel unified approach offers a more informative model for deciphering the ...
Learning Heuristics for Mining RNA Sequence-Structure Motifs 37 Aler R, Borrajo D, Isasi P (2002) Using genetic programming to l ...
38 A. Elyasaf et al. Hoffmann J, Nebel B (2001) The FF planning system: fast plan generation through heuristic search. J Artif I ...
Kaizen Programming for Feature Construction for Classification Vinícius Veloso de Melo and Wolfgang Banzhaf Abstract A data set ...
40 V.V. de Melo and W. Banzhaf model will then be tested using unseen data which have labels (for quality assurance) and other d ...
Kaizen Programming for Feature Construction for Classification 41 of the present study builds a single classifier whose features ...
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