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A* heuristic

A Heuristic Approach to Natural Language Processing

A Heuristic Approach to Natural Language Processing

... 1965 International Conference on Computational Linguistics A Heuristic Approach to Natural Language Processing 18 "1965 International Conference on Computational Linguistics" A Heuristic Approach to N[.] ...

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

... a heuristic method to minimize makespan for different jobs in a job shop ...proposed heuristic is computationally efficient and practical approach for the ...

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A Heuristic Model for the Development of Production Capabilities

A Heuristic Model for the Development of Production Capabilities

... Various authors ([4], [11], [12] and [15]) claim that the Real Options theory presents the right heu- ristic approach to capability-development process management. Capability is defined as the organiza- tional know-how ...

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A Heuristic Approach for the Detection of Malicious Activity at Autonomous System

A Heuristic Approach for the Detection of Malicious Activity at Autonomous System

... This paper has examined whether some networks are safe harbors for malicious activity. This paper found that several ASs have high concentrations of malicious IP addresses, while others represent disproportionately ...

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A heuristic of moral imagination

A heuristic of moral imagination

... Whether or not a metaphor is concise and economical can be determined more objectively than a metaphor being active or not. Metaphors say more with less, and according to Booth this is one of the reasons why people use ...

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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

... level heuristic is chosen randomly, if a heuristic per- turbs a solution and consistently generates highly worsening solutions, then such a heuristic is considered as a poor heuristic, causing ...

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Lecture4 Meta Heuristic

Lecture4 Meta Heuristic

... – (…)A heuristic is a technique designed to solve a problem that ignores whether the solution can be proven to be correct, but which usually produces a good solution (…). – Heuristics[r] ...

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SOME NOVEL METHODS FOR FLOW SHOP SCHEDULING

SOME NOVEL METHODS FOR FLOW SHOP SCHEDULING

... [4] heuristic algorithm is based on the assumption that a job with high total processing time on all the machines should be given higher priority than job with low total processing ...improvement heuristic ...

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Heuristic Authorship Obfuscation

Heuristic Authorship Obfuscation

... In this paper, we depart from the mentioned ob- fuscation paradigms and, for the first time, cast author obfuscation as a heuristic search problem. Given a to-be-obfuscated text, we search for a cost- minimum ...

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Heuristic Evaluation Quality Score (HEQS): Defining Heuristic Expertise

Heuristic Evaluation Quality Score (HEQS): Defining Heuristic Expertise

... catastrophic issues preventing users from accomplishing goals, major issues or issues causing users to waste time or increase learning significantly, and irritants or cosmetic issues violating minor usability guidelines. ...

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ANALYSIS OF DIVIDE-AND CONQUER LOCAL SEARCH HEURISTICS WITH QUADRANT AND NEIGHBOR RESTRICTIONS

ANALYSIS OF DIVIDE-AND CONQUER LOCAL SEARCH HEURISTICS WITH QUADRANT AND NEIGHBOR RESTRICTIONS

... Next, we suggest two refinements to DAC that reduce running time. We propose a divide-and-conquer local search heuristic with quadrant restrictions (DACQ) and a divide-and-conquer local search heuristic ...

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Hierarchical Minimization of Total Completion Time and Number of Tardy Jobs Criteria

Hierarchical Minimization of Total Completion Time and Number of Tardy Jobs Criteria

... The rationale for HR4, HR5 and HR6 heuristics followed the idea of Stein and Wein (1997). Stein and Wein (1997) showed that given an optimal makespan schedule and an optimal total weighted completion time schedule, a ...

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Hypotheticals as Heuristic Device

Hypotheticals as Heuristic Device

... Hypotheticals as Heuristic Device Hypotheticals as Heuristic Device Edwina L Rissland and Kevin D A s h l e y D e p a r t m e n t o f C o m p u t e r and I n f o r m a t i o n Science U n i v e r s i[.] ...

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(GNS), improvement heuristic,

(GNS), improvement heuristic,

... One important gap for this paper, found when reading and revising the states of the art and practice, is the absence of proper documentation, on which neighborhood operators to use and how to use them according to each ...

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A Partially Observable Markov Decision for Optimal Design of Surveillance Policies for Bladder Cancer.

A Partially Observable Markov Decision for Optimal Design of Surveillance Policies for Bladder Cancer.

... the heuristic-cyst policy and the heuristic-bmk policy for base case male and female ...the heuristic-cyst policy and the heuristic-bmk policy result in ...The heuristic-cyst policy ...

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Privacy Preserving Techniques in Data Stream and challenges

Privacy Preserving Techniques in Data Stream and challenges

... ways Heuristic approach – Heuristic methodology is simply concerning used for centralized info, right here 2 sorts of knowledge is viewed, which is, raw information and aggregative ...

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Predicting Elections from Biographical Information about Candidates

Predicting Elections from Biographical Information about Candidates

... Predicting the winner – a heuristic based approach Based on the PBs, a simple heuristic was used to forecast the election outcome: the candidate with the higher index score is p[r] ...

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SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY 
FEATURES

SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES

... another heuristic function which consider a less accurate and simpler ...new heuristic function makes the algorithm computationally less ...new heuristic function to solve ...

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Planning For Non-Player Characters By Learning From Demonstration

Planning For Non-Player Characters By Learning From Demonstration

... T-Graph heuristic visits each T- Graph edge once per heuristic request, so for searches with the same number of expansions, we expect a linear increase in search times as the number of T-Graph edges ...

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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

... (or heuristic) reviews. In CUE-3 11, heuristic experts individually inspected a website, and then formed four groups to combine their findings into one group ...

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