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    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/1880/45287</link>
    <description />
    <pubDate>Wed, 19 Jun 2013 02:37:32 GMT</pubDate>
    <dc:date>2013-06-19T02:37:32Z</dc:date>
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      <title>COLLIDING PUCKS SOLVED USING A TEMPORAL LOGIC</title>
      <link>http://hdl.handle.net/1880/46602</link>
      <description>Title: COLLIDING PUCKS SOLVED USING A TEMPORAL LOGIC
Authors: Cleary, John G.
Abstract: A Horn Clause logic programming language, called Starlog, which
allows execution of programs involving time is described. A sound
and complete bottom up execution procedure for the language is
described. An extended example of Programming in Starlog is
given in the form of a solution to the colliding pucks problem.
A discussion of the features necessary for a distributed implementation
of Starlog are given.</description>
      <pubDate>Tue, 01 Aug 1989 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/1880/46602</guid>
      <dc:date>1989-08-01T00:00:00Z</dc:date>
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    <item>
      <title>RAY TRACING IN CALGARY AND OTAGO</title>
      <link>http://hdl.handle.net/1880/46235</link>
      <description>Title: RAY TRACING IN CALGARY AND OTAGO
Authors: Wyvill, Geoff; Wyvill, Brian; Cleary, John
Abstract: No abstract</description>
      <pubDate>Sun, 01 Mar 1987 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/1880/46235</guid>
      <dc:date>1987-03-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>MODELING FOR TEXT COMPRESSION</title>
      <link>http://hdl.handle.net/1880/46173</link>
      <description>Title: MODELING FOR TEXT COMPRESSION
Authors: Bell, Timothy C.; Witten, Ian H.; Cleary, John G.
Abstract: The best schemes for text compression employ large models 
to help them predict which characters will come next. The actual 
next characters are coded with respect to the prediction, resulting 
in compression of information. Models are best formed adaptively, 
based on the text seen so far. This paper surveys successful 
strategies for adaptive modeling which are suitable for use in 
practical text compression systems.
The strategies fall into three main classes: finite-context modeling, in
which the last few characters are used to condition the probability 
distribution for the next one; finite-state modeling, in which the
distribution is conditioned by the current state (and which subsumes
finite-context modeling as an important special case); and dictionary
modeling, in which strings of characters are replaced by pointers into an
evolving dictionary. A comparison of different methods on the same sample
texts is included, along with an analysis of future research directions.</description>
      <pubDate>Tue, 25 Oct 1988 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/1880/46173</guid>
      <dc:date>1988-10-25T00:00:00Z</dc:date>
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    <item>
      <title>ON THE PRIVACY AFFORDED BY ADAPTIVE TEXT COMPRESSION</title>
      <link>http://hdl.handle.net/1880/46155</link>
      <description>Title: ON THE PRIVACY AFFORDED BY ADAPTIVE TEXT COMPRESSION
Authors: Witten, Ian H.; Cleary, John G.
Abstract: Ordinary techniques of text compression provide some degree of
privacy for messages being stored or transmitted. First, by recoding
messages compression protects them from the casual observer.
Second, by removing redundancy it denies a cryptanalyst the
leverage of the normal statistical regularities in natural language.
Third and most important, the best text compression systems use
adaptive modeling so that they can take advantage of the
characteristics of the text being transmitted. The model acts
as a very large key, without which decryption is impossible.
Adaptive modeling means that the key depends on the entire text
which has been transmitted so far since the time the
encoder/decoder system was initialized.
This paper introduces the modern approach to text compression and
describes a highly effective adaptive method, with particular
emphasis on its potential for protecting messages from
eavesdroppers. The technique is potentially fast and provides
both encryption and data compression.</description>
      <pubDate>Tue, 01 Sep 1987 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/1880/46155</guid>
      <dc:date>1987-09-01T00:00:00Z</dc:date>
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