نتایج جستجو برای: logic regression
تعداد نتایج: 465700 فیلتر نتایج به سال:
Machine learning approaches are an attractive option for analyzing large-scale data to detect genetic variants that contribute to variation of a quantitative trait, without requiring specific distributional assumptions. We evaluate two machine learning methods, random forests and logic regression, and compare them to standard simple univariate linear regression, using the Genetic Analysis Works...
quality function development (qfd) is a planning tools used to fulfill customer expectation and qfd is a systematic process to translating customer requirement (whats) into technical description (hows). qfd aims to maximize customer satisfactions related to enterprise satisfaction. the inherent fuzziness of relationships in qfd modeling justifies the use of fuzzy regression for estimating the r...
Objectives This study examined the role of achievement goals in moderating the relationship between sex and academic self-handicapping. Methods In our correlational research, 320 university students (154 men and 166 women) were selected by multistage cluster random sampling method. They completed the Academic Self-Handicapping Scale (ASHS) and the Achievement Goal Questionnaire-Revised (AGQ-R...
Relational logistic regression (RLR) was presented at the 14th International Conference on Principles of Knowledge Representation and Reasoning (KR-2014). RLR is the directed analogue of Markov logic networks. Whereas Markov logic networks define distributions in terms of weighted formulae, RLR defines conditional probabilities in terms of weighted formulae. They agree for the supervised learni...
Introduction Importance of cis-Regulatory Elements The rapidly emerging field of systems biology is helping us to understand the molecular determinants of phenotype on a genomic scale [1]. Cis-regulatory elements are major sequence-based determinants of biological processes in cells and tissues [2]. For instance, during transcriptional regulation, transcription factors (TFs) bind to very specif...
Quality function development (QFD) is a planning tools used to fulfill customer expectation and QFD is a systematic process to translating customer requirement (WHATs) into technical description (HOWs). QFD aims to maximize customer satisfactions related to enterprise satisfaction. The inherent fuzziness of relationships in QFD modeling justifies the use of fuzzy regression for estimating the r...
In this study, we propose a novel mobile tracking scheme which utilizes the fuzzy-based decision making with the consideration of the information such as previous location, moving direction and distance to the base station as well as received signal strength, thereby resulting to the estimation performance even much better than the previous schemes. Our scheme divides a cell into many blocks ba...
This chapter gives a brief overview of our framework for stepwise synthesis of logic programs from examples and properties. Directives are extracted for the development of a particular synthesis mechanism whose steps are guided by a divide-and-conquer schema. It features deductive and inductive reasoning. Examples and properties are presented to it in a non-incremental fashion. The objectives a...
BACKGROUND For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-au...
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