منابع مشابه
Clustering with Intelligent Linexk-Means
The intelligent LINEX k-means clustering is a generalization of the k-means clustering so that the number of clusters and their related centroid can be determined while the LINEX loss function is considered as the dissimilarity measure. Therefore, the selection of the centers in each cluster is not randomly. Choosing the LINEX dissimilarity measure helps the researcher to overestimate or undere...
متن کاملRobots Solving Serial Means-Means-End Problems
Recently, Auersperg et al. [1] demonstrated that Goffin’s cockatoos (Cacatua goffini) are able to solve complex means-means-end problems. This is an impressive cognitive ability and it is desirable to build models to understand such abilities. In this paper we describe a project that models such behavior and recreates the experiment on a robotic platform. First preliminary results suggest that ...
متن کاملKnowledge Means 'All', Belief Means 'Most'
We introduce a bimodal epistemic logic intended to capture knowledge as truth in all epistemically alternative states and belief as a generalized ‘majority ’ quantifier, interpreted as truth in many (a ‘majority ’ of the) epistemically alternative states. This doxastic interpretation is of interest in KR applications and it also has an independent philosophical and technical interest. The logic...
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ژورنال
عنوان ژورنال: The Journal of Immunology
سال: 2017
ISSN: 0022-1767,1550-6606
DOI: 10.4049/jimmunol.1701135