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Heuristic

Known as: HEURISTIC SEARCH, Heuristo, Huristic 
A heuristic technique (/hjᵿˈrɪstᵻk/; Ancient Greek: εὑρίσκω, "find" or "discover"), often called simply a heuristic, is any approach to problem… 
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Related topics

Related topics

50 relations
Alpha–beta pruningAraucariaAutoTURNBranch and bound

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Modeling, verification and pattern generation for reconfigurable scan networks
Reconfigurable scan architectures allow flexible integration and efficient access to infrastructure in SoCs, e.g. for test… 
Highly Cited
2011
Highly Cited
2011
Shift-Reduce CCG Parsing
CCGs are directly compatible with binary-branching bottom-up parsing algorithms, in particular CKY and shift-reduce algorithms… 
Highly Cited
2011
Highly Cited
2011
Distance and time based node selection for probabilistic coverage in People-Centric Sensing
Aiming to achieve sensing coverage for a given Area of Interest (AoI) in a People-Centric Sensing (PCS) manner, we propose a… 
Highly Cited
2011
Highly Cited
2011
Reach Adapting Algorithms for Mixed Line Rate WDM Transport Networks
We consider the problem of planning a mixed line rate (MLR) wavelength division multiplexing (WDM) transport optical network. In… 
Highly Cited
2004
Highly Cited
2004
SAKM: a scalable and adaptive key management approach for multicast communications
Multicasting is increasingly used as an efficient communication mechanism for group-oriented applications in the Internet. In… 
Highly Cited
2002
Highly Cited
2002
Warehousing and inventory management: a simulation tool to determine warehouse efficiencies and storage allocations
Using ProModel simulation language, a universal warehouse storage simulation model has been developed. Applications of the model… 
Highly Cited
1999
Highly Cited
1999
A Quantum Mechanical Supertask
That quantum mechanical measurement processes are indeterministic is widely known. The time evolution governed by the… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
1995
1995
The Importance of Power-tail Distributions for Telecommunication Traffic Models
While the warnings given to designers of telecommunications networks are no doubt correct, the statistical analyses have not… 
Highly Cited
1977
Highly Cited
1977
A Model for Learning Systems
A model for learning systems is presented, and representative AI, pattern recognition, and control systems are discussed in terms… 
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