objective(s): this study addresses feature selection for breast cancer diagnosis. the present process uses a wrapper approach using ga-based on feature selection and ps-classifier. the results of experiment show that the proposed model is comparable to the other models on wisconsin breast cancer datasets. materials and methods: to evaluate effectiveness of proposed feature selection method, we ...

user-generated medical messages on internet contain extensive information related to adverse drug reactions (adrs) and are known as valuable resources for post-marketing drug surveillance. the aim of this study was to find an effective method to identify messages related to adrs automatically from online user reviews.we conducted experiments on online user reviews using different feature set an...

In this article, we describe system architecture, training data preparation and experimental results of the EIWA group in the NTCIR-8 Patent Translation Task. Our system is combining rulebased machine translation technique and statistical post-editing technique. Experimental results show 0.344 BLEU score for Japanese to English intrinsic evaluation in the Patent Translation Task.

Taxonomic identification systems based on character-taxon matrices usually perform better than rulebased systems. Also, matrix data can be used for other purposes, such as description writing, classification, and information retrieval. Most matrix-based systems do not use probabilities, but this is seldom a significant limitation.

Entailment that is based on the application of simple production rules, of the form c← a1, . . . , an (n ≥ 0) is weaker than the propositional entailment that would be yielded by translating these rules into material implications. In this paper, we show that rulebased entailment coincides with the propositional entailment of literals, when the set of rules is closed under transposition, transit...

This article deals with how metaknowledge can improve rule-based system and presents a new Reflexive System Inference Engine (RSIE) which not only enables the activation of rules, making it belong to systems managing metaknowledge. The experimentation section shows a rulebased system named IDRES with a structure which has been modified to use metaknowledge.

In this paper, we propose the application of rulebased reasoning for knowledge assisted image segmentation and object detection. A region merging approach is proposed based on fuzzy labeling and not on visual descriptors, while reasoning is used in evaluation of dissimilarity between adjacent regions according to rules applied on local information.

Adopting concepts from statistical language modeling and rulebased transformations can lead to effective and efficient text-tophone (TTP) functions. We present here the methods and results of one such effort, resulting in a relatively compact and fast set of TTP rules that achieves 94.5% segmental phonemic accuracy.

The article presents an attempt to automate all data creation processes of a rulebased shallow-transfer machine translation system. The presented methods were tested on two fully functional translation systems Slovenian-Serbian and SlovenianMacedonian. An extensive range of evaluation tests was performed to assess the applicability of the methods.