We design a multi-label classification system based on the combination of binary classifications for classification subtask at NTCIR-6 Patent Retrieval Task. In our system, we design a binary classifier per Fterm that determines the assignment of the F-term to patent documents. Hybrid classifiers are employed as binary classifiers so that the multiple components of patent documents are used eff...

the improvement of high-through-put gene profiling based microarrays technology has provided monitoring the expression value of thousands of genes simultaneously. detailed examination of changes in expression levels of genes can help physicians to have effi cient diagnosing, classification of tumors and cancer’s types as well as effective treatments. finding genes that can classify the group of...

A hybrid method is presented to accelerate network training for traditional BP networks and to improve the classification accuracy of features for automatic visual inspection of wood veneers. In order to achieve an optimal network structure, the uniform design method is employed to optimise the parameters taking advantage of typical experimental data and good data representation, and the optima...

Machine learning is a concerned with the design and development of algorithms. Machine learning is a programming approach to computers to achieve optimization .Classification is the prediction approach in data mining techniques. Decision tree algorithm is the most common classifier to build tree because of it is easier to implement and understand. Attribute selection is a concept by which we wa...

this study aims to deal with a more realistic combined problem of project scheduling and material ordering. the goal is to minimize the total material holding and ordering costs by determining the starting time of activities along with material ordering schedules subject to some constraints. the problem is first mathematically modelled. then a hybrid simulated annealing and genetic algorithm is...