Breast cancer is a type of malignant tumor which still the number one killer where process spread or metastasis takes long time. The breast sufferers increases every year so that if detected caught early, prevention can be done early as to reduce sufferers. To risk increasing patients, it necessary do detection, several methods used assist detection such screening, computational methods. Severa...

Feature selection is an important step in classification systems. It aims at reducing the number of features while trying to preserve or improve classifier performance. In this article, we propose a machine learning based feature selection approach, in the context of spam filtering which is considered as a text categorization task. Our approach consists in an individual evaluation of each attri...

Transmit diversity offers an advantage in the forward link of the cdma2000 system by balancing the spectrum efficiency in the uplink and downlink. Three schemes for performing transmit diversity are examined in this paper – orthogonal transmit diversity, time switched transmit diversity, and selection transmit diversity for vehicular, indoor-outdoor pedestrian and indoor office environments. Al...

When combinatorial antibody libraries are rendered infectious for eukaryotic cells, the integrated antibody genotype and cellular phenotype become permanently linked and each cell becomes a selection system unto itself. These systems should be ideal for the identification of proteins and pathways that regulate differentiation so long as selection systems can be devised. Here we use a selection ...

Feature Selection techniques usually follow some search stra tegy to select a suitable subset from a set of features Most neural network growing algorithms perform a search with Forward Selection with the ob jective of nding a reasonably good subset of neurons Using this link be tween both elds feature selection and neuron selection we propose and analyze di erent algorithms for the constructio...