Learning objectives and evaluation metrics based on information theory machine View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2010-2013

FUNDING AMOUNT

350000 CNY

ABSTRACT

Learning Objectives and Evaluation Metrics are one of the primary tasks in machine learning research, but how are they different Learning machine problems or methods to establish effective and reasonable learning objectives and evaluation criteria is still a difficult problem. This topic is trying to Information theory as a machine learning objectives and evaluation criteria to study, the establishment of an effective and reasonable information on learning objectives and evaluation And to explore the relevance, uniqueness and limitations of learning principles based on information theory and traditional performance indicators. Research of the subject The goal is not to replace the traditional performance as an indicator of the machine learning method, but for the machine learning method to propose a new design Diameter and theoretical explanation. The research focuses on three basic background applications in machine learning: research on goals and evaluation based on information theory in clustering, classification and regression learning. There are many kinds of entropy or divergence definitions in the theory of information, which are systematically researched and put forward according to different learning machines. On the basis of theoretical research, this subject will carry out method validation work according to the real problem data released by academia. It will also be applied to the research of the existing dynamic growth process of plants based on the theory of information learning. We will make an objective and comparative evaluation. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=61075051

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