This page displays the number of entries (articles) in PubMed (Medline) published every year, that conform to search strategy (such as a phrase) you enter.
Authors: C. Jung, A. Lieder, S. Brener, H. Hafermann, B. Baxevanis, A. Chudnovskiy, A. N. Rubtsov, M. I. Katsnelson, A. I. Lichtenstein
Comments: 21 pages, 6 figures
Subjects: Strongly Correlated Electrons (cond-mat.str-el)
3. arXiv:1006.1855 [pdf, other]
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more than 2,000 resources in 97 sections and sub-sections available on the Internet of interest to academic and practicing economists, and those interested in economics.
howm: Write fragmentarily and read collectively. * Tutorial // Tutorial is nice Howm is a note-taking tool on Emacs. It is similar to emacs-wiki; you can enjoy hyperlinks and full-text search easily. It is not similar to emacs-wiki; it can be combined with any format.
This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g. "cat dog old_lady"), and obtain a list of URIs of semantic documents in which the keywords appear as identifiers or in literals of classes, properties, and individuals. You can also use "jokers" in the keywords (e.g., "ca? dog*"). Navigation in the results follows very simple principles. First, whenever a sign appears, it can be used to display additional information about the element it is attached with. Second, every URI is clickable. A URI is a link to a page describing either the entity or the semantic document it corresponds to, and gives access to additional functionalities using this particular entity or document.
In many problems that require extensive searching, the solution can be described as satisfying two competing constraints, where satisfying each independently does not pose a challenge. As an alternative to tree-based and stochastic searching, for these problems we propose using an iterated map built from the projections to the two constraint sets. Algorithms of this kind have been the method of choice in a large variety of signal-processing applications; we show here that the scope of these algorithms is surprisingly broad, with applications as diverse as protein folding and Sudoku.Our survey of applications shows the difference map algorithm often achieves results comparable to much more sophisticated, special purpose algorithms. Efficient implementations of constraint projections usually are easier than designing the linear program solver at the heart of many optimization algorithms.
The CLEVER search engine incorporates several algorithms that make use of the Web's hyperlink structure for discovering high-quality information. It can be exceedingly difficult to locate resources on the World Wide Web that are both high-quality and relevant to a user's informational needs. Traditional automated search methods for locating information on the Web are easily overwhelmed by low-quality and unrelated content. Second generation search engines have to have effective methods for focusing on the most authoritative documents. The rich structure implicit in hyperlinks among Web documents offers a simple, and effective, means to deal with many of these problems. Additional Information: Publications:
A. Newell, and H. Simon. Communications of the ACM, 19 (3):
113-126(March 1976)p. 116:
"The Physical Symbol System Hypothesis. A physical
symbol system has the necessary and sufficient
means for general intelligent action."
p. 120:
"Heuristic Search Hypothesis. The solutions to
problems are represented as symbol structures.
A physical symbol system exercises its intelligence
in problem solving by search--that is, by
generating and progressively modifying symbol
structures until it produces a solution structure."
p. 121:
"To state a problem is to designate (1) a test
for a class of symbol structures (solutions of the
problem), and (2) a generator of symbol structures
(potential solutions). To solve a problem is
to generate a structure, using (2), that satisfies
the test of (1).".