biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...

This paper investigates automatic wrapper generation and maintenance for Forums, Blogs and News web sites. Web pages are increasingly dynamically generated using a common template populated with data from databases. This paper proposes a novel method that uses tree alignment and transfer learning method to generate the wrapper from this kind of web pages. The tree alignment algorithm is adopted...

To simplify the task of constructing wrapper/monitor for the information sources in data warehouse systems, we provide a modularized design method to re-use the code. By substituting some parts of wrapper modules, we can re-use the wrapper on a di€erent information source. For each information source, we also develop a toolkit to generate a corresponding monitor. By the method, we can reduce mu...

In this paper we propose a method to generate pausible clock based GALS wrapper circuits from the synchronous module’s Verilog specification code automatically. We first parse the input module specification and produce wrapper circuit components based on the specification of entered synchronous module. Existing methods for generation of the wrapper circuit waste the die size because they instan...

Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...

We propose a simple but generally applicable approach to improving the accuracy of automatic image segmentation algorithms relative to manual segmentations. The approach is based on the hypothesis that a large fraction of the errors produced by automatic segmentation are systematic, i.e., occur consistently from subject to subject, and serves as a wrapper method around a given host segmentation...

Wrapping is an established technique for API migration: the use of a given API within the system under migration is replaced by the use of a wrapper-based re-implementation of said API while using a different (preferred) API underneath. Except for some special cases, wrapper development is a craft. In particular, the compliance of a wrapper with the original API is hard to assess and guidance o...

This paper deals with the problem of supervised wrapper-based feature subset selection in datasets with a very large number of attributes. Recently the literature has contained numerous references to the use of hybrid selection algorithms: based on a filter ranking, they perform an incremental wrapper selection over that ranking. Though working fine, these methods still have their problems: (1)...