منابع مشابه
Understanding Negations in Information Processing: Learning from Replicating Human Behavior
Information systems experience an ever-growing volume of unstructured data, particularly in the form of textual materials. This represents a rich source of information from which one can create value for people, organizations and businesses. For instance, recommender systems can benefit from automatically understanding preferences based on user reviews or social media. However, it is difficult ...
متن کاملUnderstanding the Unconscious Brain: Evidence for Non-Linear Information Processing
Neuroimaging techniques have made breakthroughs in the field of conscious emotional processing possible. However, people process most emotional information at an unconscious level and this influences our daily life (Van den Noort, 2003). These unconscious processes still remain a great mystery. What are the limits of unconscious information processing? Neuroimagingand skin conductance studies w...
متن کاملU Vision Understanding Complex Information- Processing Systems Representation and Dewiption
Bruner, J S , Goodnow, J J , and Austin, G A (1956) A Study of Thinking New York: Wiley (Paperback Wiley Science Editions, 1962 ) Capranica, R R (1965) The Evoked Vocal Response ofthe Bullftog A Study of Communication by Sound Cambridge, MAMIT Press Chomsky, N (1959) Review of Skinner's Verbal Behavior Language, 35, 26-58 Fodor, J A , Bevel, T , and Ganett, M (1974) The Psychology ofLanguage A ...
متن کاملFrom statistical mechanics to information theory: understanding biophysical information-processing systems
These are notes for a set of 7 two-hour lectures given at the 2010 Summer School on Quantitative Evolutionary and Comparative Genomics at OIST, Okinawa, Japan. The emphasis is on understanding how biological systems process information. We take a physicist’s approach of looking for simple phenomenological descriptions that can address the questions of biological function without necessarily mod...
متن کاملStochastic Fuzzy Discrimination Information Measure Cost Function in Image Processing
A new cost function based on stochastic fuzzy discrimination information measure is introduced in this paper. Focusing on their significant parts, this cost function is used to find the optimal value of threshold for denoising image. It is, in fact, an extension of fuzzy entropy cost function by the present author. Multivariable normal distribution is used for creating focus on significant part...
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ژورنال
عنوان ژورنال: Nature
سال: 1976
ISSN: 0028-0836,1476-4687
DOI: 10.1038/260375c0