Emerging Solutions for Mechanizing the Storage and Retrieval of Information (Book Review)
نویسندگان
چکیده
منابع مشابه
Modeling storage and retrieval of memories in the brain
We have proposed a neural network model that stores the incoming information after orthogonalizing it in the same manner as vectors are orthogonalized. The scheme enables the brain to compare a new informational system with those in the memory and store its similarities and differences with the old memories in an economical manner. This allows the brain to have an enormous capacity and yet the ...
متن کاملModeling storage and retrieval of memories in the brain
We have proposed a neural network model that stores the incoming information after orthogonalizing it in the same manner as vectors are orthogonalized. The scheme enables the brain to compare a new informational system with those in the memory and store its similarities and differences with the old memories in an economical manner. This allows the brain to have an enormous capacity and yet the ...
متن کاملBook Review: Cross-Language Information Retrieval by Jian-Yun Nie
Cross-Language Information Retrieval is a compact book introducing a branch of information retrieval that has gained considerable research interest since the dawn of the WorldWideWeb in the mid 1990s. Information retrieval is generally concerned with the problem of finding documents within a large collection that are relevant to a given input query. Whereas the original formulation of IR assume...
متن کاملCompact Book Storage: Solutions Utilizing Conventional Methods
THES P A C E P R O B L E M S of large collections as well as those of libraries that have almost reached their capacity are obvious. What has been belatedly recognized are the signscant secondary problems and costs that are involved. Collections containing a significant number of necessary but little-used books are an impediment to the patrons’ accessibility to titles. Such collections increase...
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ژورنال
عنوان ژورنال: College & Research Libraries
سال: 1960
ISSN: 2150-6701,0010-0870
DOI: 10.5860/crl_21_06_489