Majalaya carp is a freshwater fish that has important economic value and widespread in Indonesia. Goldfish the most cultivated because it many advantages both physiologically genetically. Several factors of assessment selection superior brood stock can be considered cultivation goldfish cultivators are; ideal body weight, movement, physical deformities, scales, base tail. All these help decisio...

The importance of good weighting methodology in information retrieval methods – the method that affects the most useful features of a document or query representative is examined. Good weighting methodologies are supposed to be more important than the feature selection process. Weighting features is the thing that many information retrieval systems are regarding as being of minor importance as ...

Biomolecular annotation databases are very important in modern biomedical and genetic research. Correct interpretation of biological experiments depends on consistency and completeness of such databases. To improve their quality and coverage, computational methods that are able to supply a ranked list of predicted gene or gene products annotations are extremely useful. In this paper we propose ...

Recent research in classification problems has mostly concentrated on ensemble methods that construct a set of base classifiers instead of a single classifier. An unlabeled instance is then classified by taking a vote of the base classifiers’ predictions of its class label. Ensemble methods like Bagging and AdaBoost have been shown to outperform the individual base classifiers when the base ind...

Recent researches in econometrics and statistics have gained considerable insights into the use of instrumental variables (IVs) for causal inference. A basic idea is that IVs serve as an experimental handle, the turning of which may change each individual’s treatment status and, through and only through this effect, also change observed outcome. The average difference in observed outcome relati...

I begin this discussion by thanking Larry Hedges, the editor of the journal, for giving me an opportunity to provide a commentary on this stimulating article. I also would like to congratulate the authors of the article for their insightful discussion on causal mediation analysis, which is one of the most important and challenging methodological problems we face in the literature of causal infe...

Multicriteria decision making (MCDM) refers to screening, prioritizing, ranking or selecting the alternatives based on human judgment from among a finite set of ` alternatives in terms of the multiple usually conflicting criteria. A very significant role in MCDM models plays the weights of criteria which usually provide the information about the relative importance of the considered criteria. S...

Feature weighing methods are commonly used to find the relative significance among a set of features that are effectively used by the retrieval methods to search image sequences efficiently from large databases. As evidenced in the current literature, dynamic textures (image sequences with regular motion patterns) can be effectively modelled by a set of spatial and temporal motion distribution ...

Often there is a need to consider spatial weighting in methods for finding spatial patterns in climate data. The focus of this paper is on techniques that maximize variance, such as empirical orthogonal functions (EOFs). A weighting matrix is introduced into a generalized framework for dealing with spatial weighting. One basic principal in the design of the weighting matrix is that the resultin...

The article considers the issue of reducing the influence of clayless mud components on the filtration parameters of the reservoir. In the composition of such solutions, calcium carbonate of various fractions is often added as a weighting and colmatizing additive. It is generally accepted that weighting bridging agents are sufficiently inert substances and their addition does not affect the rhe...