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heuristic rules

Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules

Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules

... The heuristic rules are designed on token types and are independent of specific tokens, SynTime therefore is independent of specific domains, spe- cific text types, and even specific languages that consist ...

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An Improved Adaptive Time-Variant Model for Fuzzy-Time-Series Forecasting Enrollments based on Particle Swarm Optimization

An Improved Adaptive Time-Variant Model for Fuzzy-Time-Series Forecasting Enrollments based on Particle Swarm Optimization

... We proposed combination of the adaptive time-variant model (ATVF) [12] with pso algorithm [19], [20] to improve Alabama University enrollments forecasting in this paper. ATVF model automatically adapts the analysis ...

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Exploiting Heterogeneous Treebanks for Parsing

Exploiting Heterogeneous Treebanks for Parsing

... conversion rules and heuristic rules, based on current head- dependent pair from a source dependency tree and the structure of the built tree (Collins et ...(2) heuristic rules are ...

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A Survey of Web Information Extraction Tools

A Survey of Web Information Extraction Tools

... - Segment Classification by using DOM tree - Content Classification as main content or noisy content - Heuristic rules to filter the DOM nodes - HTML parser to create a DOM tree - Conten[r] ...

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Cross lingual NIL Entity Clustering for Low resource Languages

Cross lingual NIL Entity Clustering for Low resource Languages

... The task of clustering NIL entity mentions was in- troduced in the TAC2014 Knowledge Base Pop- ulation track (Ji et al., 2014). Approaches to this task have included using direct string or sub- string matches (Cassidy et ...

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Expanding Verb Coverage in Cyc with VerbNet

Expanding Verb Coverage in Cyc with VerbNet

... The general method for creating semantic templates in Cyc requires creating Verb Class Frames and then using Cyc predicates and heuristic rules to create individual frames for each membe[r] ...

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Automatic Representation of the Semantic Relationships Corresponding to a French Surface Expression

Automatic Representation of the Semantic Relationships Corresponding to a French Surface Expression

... The process I have outlined so far requires a corpus of heuristic rules - organized in the form of "grammars" associated with the predicative patterns of RESEDA's metalanguage - which wi[r] ...

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Dirichlet Compound Multinomials Statistical Models

Dirichlet Compound Multinomials Statistical Models

... creating heuristic rules for the representation of documents and word counts, we employ a distribution able to model words along texts considering different ...

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Forecasting the Number of Muslim Pilgrims Using Fuzzy Time Series

Forecasting the Number of Muslim Pilgrims Using Fuzzy Time Series

... The variation of the time series value between is related to the variations of the time and the past values, and the e time series between the current value last value is closer than the one between this value and If the ...

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ELECTRONIC INFORMATION SHARING BETWEEN PUBLIC UNIVERSITIES AND MINISTRY OF 
HIGHER EDUCATION AND SCIENTIFIC RESEARCH: A PILOT STUDY

ELECTRONIC INFORMATION SHARING BETWEEN PUBLIC UNIVERSITIES AND MINISTRY OF HIGHER EDUCATION AND SCIENTIFIC RESEARCH: A PILOT STUDY

... of heuristic and grammatical rules is used to extract named entities, such as types of drugs, amount of drugs, price of drugs, drug hiding methods, and the nationality of the ...and heuristic ...

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Job shop scheduling with makespan objective: A heuristic approach   Pages 273-280
		 Download PDF

Job shop scheduling with makespan objective: A heuristic approach Pages 273-280 Download PDF

... a heuristic algorithm based on a filter-and-fan (F&F) procedure for the JSP, which uses the SB procedure as a constructive method to generate a starting solution and to enhance the best schedules produced and ...

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Heuristic Evaluation Quality Score (HEQS): A Measure of Heuristic Evaluation Skills

Heuristic Evaluation Quality Score (HEQS): A Measure of Heuristic Evaluation Skills

... traditional HE and HE Plus (Chattratichart, and Brodie, 2002), can be compared, and the HEQS scores will identify the better method. A comparison of the two was done by Lindgaard et al. (2004), but they did not take into ...

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Disaster recovery heuristic

Disaster recovery heuristic

... disaster heuristic the most important idea presented in the paper is that areas can be localized and transpose the graph such that fictitious branches can be ...

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Heuristic

Heuristic

... • Allowed set: Solutions that do not belong to the tabu list.. • Select solution from allowed set, add to tabu list, and update tabu list.[r] ...

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Few heuristic optimization algorithms to solve the multi-period fixed charge production-distribution problem

Few heuristic optimization algorithms to solve the multi-period fixed charge production-distribution problem

... search heuristic, Simulated annealing algorithm (SAA) based neighbourhood search heuristic and an Equivalent variable cost (EVC) based simple heuristic are proposed to solve the ...

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Hybrid PSOS Algorithm For Continuous ‎Optimization

Hybrid PSOS Algorithm For Continuous ‎Optimization

... [27] W. Chu, X. Gao, S. Sorooshian, Handling boundary constraints for particle swarm op- timization in high-dimensional search space, Information Sciences 181 (2011) 4569-4581. [28] D. E. Goldberg, Genetic Algorithms in ...

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Heuristic on economics

Heuristic on economics

... According to Nozick is an objective evaluative such that given any result, there is an answer to those problems, if the results meet this criterion. However, within an objective research process as evaluative criteria, ...

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A tensor based selection hyper heuristic for cross domain heuristic search

A tensor based selection hyper heuristic for cross domain heuristic search

... combines heuristic selection and move acceptance methods under an iterative single point-based search ...selected heuristic and a decision is made whether the new solution is accepted or ...

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Meta-heuristic

Meta-heuristic

... Intensification : Exploitation of best found solutions to search thoroughly promising regions of the search space.. Local optimum : An optimal solution within a neighbouring set of solut[r] ...

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Lecture3 Heuristic

Lecture3 Heuristic

... path) to the solution in the minimum number of steps possible (no optimal algorithm can do better given the same heuristic). • An admissible heuristic is one that never overestimate[r] ...

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