Results 1  10
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11,294
A Sequential Algorithm for Training Text Classifiers
, 1994
"... The ability to cheaply train text classifiers is critical to their use in information retrieval, content analysis, natural language processing, and other tasks involving data which is partly or fully textual. An algorithm for sequential sampling during machine learning of statistical classifiers was ..."
Abstract

Cited by 631 (10 self)
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The ability to cheaply train text classifiers is critical to their use in information retrieval, content analysis, natural language processing, and other tasks involving data which is partly or fully textual. An algorithm for sequential sampling during machine learning of statistical classifiers
Sequential abstract state machines capture sequential algorithms
 ACM Trans. Computational logic
"... We examine sequential algorithms and formulate a Sequential Time Postulate, an Abstract State Postulate, and a Bounded Exploration Postulate. Analysis of the postulates leads us to the notion of sequential abstract state machine and to the theorem in the title. First we treat sequential algorithms t ..."
Abstract

Cited by 131 (28 self)
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We examine sequential algorithms and formulate a Sequential Time Postulate, an Abstract State Postulate, and a Bounded Exploration Postulate. Analysis of the postulates leads us to the notion of sequential abstract state machine and to the theorem in the title. First we treat sequential algorithms
Sequential algorithms as bistable maps
, 2005
"... We exhibit CartwrightCurienFelleisen’s model of observably sequential algorithms as a full subcategory of Laird’s bistable biorders, thereby reconciling two views of functions: functionsasalgorithms (or programs), and functionsasrelations. We then characterize affine sequential algorithms as a ..."
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We exhibit CartwrightCurienFelleisen’s model of observably sequential algorithms as a full subcategory of Laird’s bistable biorders, thereby reconciling two views of functions: functionsasalgorithms (or programs), and functionsasrelations. We then characterize affine sequential algorithms
Games and Sequential Algorithms
, 2001
"... The relationship between HylandOngstyle games and BerryCurien sequential algorithms is investigated, with the object of describing semantic solutions to two problems  to characterise eectively the \minimal models" of the simplytyped calculus and the fully abstract model of PCF with co ..."
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Cited by 4 (0 self)
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The relationship between HylandOngstyle games and BerryCurien sequential algorithms is investigated, with the object of describing semantic solutions to two problems  to characterise eectively the \minimal models" of the simplytyped calculus and the fully abstract model of PCF
Sequential Algorithms as Bistable Maps
, 2004
"... In this short note, triggered by [5, 6], I exhibit the model of sequential algorithms as a full subcategory of Laird's bistable biorders (without reference to the simple type hierarchy over a speci c base type). All the structures considered here are nite, for simplicity. ..."
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Cited by 1 (1 self)
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In this short note, triggered by [5, 6], I exhibit the model of sequential algorithms as a full subcategory of Laird's bistable biorders (without reference to the simple type hierarchy over a speci c base type). All the structures considered here are nite, for simplicity.
Sequential algorithms as bistable maps
, 2009
"... We exhibit CartwrightCurienFelleisen’s model of observably sequential algorithms as a full subcategory of Laird’s bistable biorders, thereby reconciling two views of functions: functionsasalgorithms (or programs), and functionsasrelations. We then characterize affine sequential algorithms as a ..."
Abstract
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We exhibit CartwrightCurienFelleisen’s model of observably sequential algorithms as a full subcategory of Laird’s bistable biorders, thereby reconciling two views of functions: functionsasalgorithms (or programs), and functionsasrelations. We then characterize affine sequential algorithms
A universal algorithm for sequential data compression
 IEEE TRANSACTIONS ON INFORMATION THEORY
, 1977
"... A universal algorithm for sequential data compression is presented. Its performance is investigated with respect to a nonprobabilistic model of constrained sources. The compression ratio achieved by the proposed universal code uniformly approaches the lower bounds on the compression ratios attainabl ..."
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Cited by 1522 (7 self)
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A universal algorithm for sequential data compression is presented. Its performance is investigated with respect to a nonprobabilistic model of constrained sources. The compression ratio achieved by the proposed universal code uniformly approaches the lower bounds on the compression ratios
Mining Sequential Patterns
, 1995
"... We are given a large database of customer transactions, where each transaction consists of customerid, transaction time, and the items bought in the transaction. We introduce the problem of mining sequential patterns over such databases. We present three algorithms to solve this problem, and empiri ..."
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Cited by 1568 (6 self)
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We are given a large database of customer transactions, where each transaction consists of customerid, transaction time, and the items bought in the transaction. We introduce the problem of mining sequential patterns over such databases. We present three algorithms to solve this problem
Sequential algorithms for DNA sequencing
"... Abstract Reconstruction of the original DNA sequence in sequencing by hybridization approach (SBH) due to a large number of possible combinations requires a computational support. In the paper, a new method of sequencing has been proposed. Two algorithms based on its idea have been implemented and ..."
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Abstract Reconstruction of the original DNA sequence in sequencing by hybridization approach (SBH) due to a large number of possible combinations requires a computational support. In the paper, a new method of sequencing has been proposed. Two algorithms based on its idea have been implemented
A sequential algorithm for . . .
, 1994
"... The ability to cheaply train text classifiers is critical to their use in information retrieval, content ..."
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The ability to cheaply train text classifiers is critical to their use in information retrieval, content
Results 1  10
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