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APPROXIMATE COMPLEXI TY AND FUNCTIONAL REPRESENTAT iON

by C. Th , 1976
"... un~LAS5IFIW ..."
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un~LAS5IFIW

The Omega Test: a fast and practical integer programming algorithm for dependence analysis

by William Pugh - Communications of the ACM , 1992
"... The Omega testi s ani nteger programmi ng algori thm that can determi ne whether a dependence exi sts between two array references, and i so, under what condi7: ns. Conventi nalwi[A m holds thati nteger programmiB techni:36 are far too expensi e to be used for dependence analysi6 except as a method ..."
Abstract - Cited by 522 (15 self) - Add to MetaCart
-case exponenti al ti me complexi ty. However, we show that for manysiB7 ti ns i whi h ...

Keywords: Listening post;

by Sa Tydskrif Vir Bedryfsielkunde, Frans Cilliers, Michelle May, Organisational, Frans Cilliers , 2010
"... rticle #917 (page number not for citation purposes) The popularisaTion of posiTive psychology as a defence againsT behavioural complexiTy in research and organisaTions Authors: ..."
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rticle #917 (page number not for citation purposes) The popularisaTion of posiTive psychology as a defence againsT behavioural complexiTy in research and organisaTions Authors:

A Directionality based Location Discovery Scheme for Wireless Sensor Networks

by Asis Nasipuri, Kai Li , 2002
"... A sensor network i a large ad hoc network of densely diN tri buted sensors that are equi pped wi th low power wi reless transcei ers. Such networks can be appli9 for cooperati e si gnal detecti on, moni tori ng, and tracki ng, and are especiN3N useful for appli(# i s i remote or hazardous locati on ..."
Abstract - Cited by 127 (1 self) - Add to MetaCart
nodes. The proposed methodi s based on an angle-of-arri al esti mati on techni que that does noti ncrease the complexi ty or cost of constructi on of the sensor nodes. We present the performance of the proposed method obtai ed from computer si ulati ons. Categories and Subject Descriptors B.8

unknown title

by unknown authors
"... This article discusses concepts of combining system prototyping with test case generation along the V-model. The use of CAN with J1939 or CANopen-based higher-layer proto-cols leads to cost-efficient and flexible solutions, but also to a high increase in the electronics ’ complexi-ty. An additional ..."
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This article discusses concepts of combining system prototyping with test case generation along the V-model. The use of CAN with J1939 or CANopen-based higher-layer proto-cols leads to cost-efficient and flexible solutions, but also to a high increase in the electronics ’ complexi-ty. An additional

Comment This comment was not peer reviewed. Climate Change Policy: IPCC Consensus Is Not Enough

by Intergovernmental Panel On Climate
"... Change (IPCC) consensual scientific knowledge on climate change and its effects is to some extent the known truth, but not necessarily the entire truth. Con-sensual scientific knowledge is only a minimum common denominator for thou-sands of scientists of different disciplines and thousands of studie ..."
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of studies that, due to their multiplicity, heterogeneity, and complexi-ty, may sometimes mismatch. If we, scientists and science managers just pros-ecute credibility and consensus, we may end up misguiding society. For the sake of humanity, we must also take into account the possibility of events

Towards Dependable Emergent Ensembles of Components: The DEECo Component Model

by Jaroslav Keznikl, Tomáš Bureš, František Plášil, Michal Kit - In Proceedings. of Software Architecture (WICSA) and European Conference on Software Architecture (ECSA), 2012 Joint Working IEEE/IFIP Conference on , 2012
"... Abstract—In the domain of dynamically evolving distributed systems composed of autonomous and (self-) adaptive compo-nents, the task of systematically managing the design complexi-ty of their communication and composition is a pressing issue. This stems from the dynamic nature of such systems, where ..."
Abstract - Cited by 10 (10 self) - Add to MetaCart
Abstract—In the domain of dynamically evolving distributed systems composed of autonomous and (self-) adaptive compo-nents, the task of systematically managing the design complexi-ty of their communication and composition is a pressing issue. This stems from the dynamic nature of such systems

A Frame-based Probabilistic Framework for Spoken Dialog Management using Dialog Examples

by Kyungduk Kim, Cheongjae Lee, Sangkeun Jung, Gary Geunbae Lee - In Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue , 2008
"... This paper proposes a probabilistic framework for spoken dialog management using dialog examples. To overcome the complexity prob-lems of the classic partially observable Mar-kov decision processes (POMDPs) based dialog manager, we use a frame-based belief state representation that reduces the compl ..."
Abstract - Cited by 10 (2 self) - Add to MetaCart
the complexi-ty of belief update. We also used dialog ex-amples to maintain a reasonable number of system actions to reduce the complexity of the optimizing policy. We developed weather in-formation and car navigation dialog system that employed a frame-based probabilistic framework. This framework enables people

THE USE OF SIMULATION MODELS AND HUMAN ADVICE TO BUILD AN EXPERT SYSTEM FOR THE DEFENSE AND CONTROL OF RIVER FLOODS

by unknown authors
"... This paper presents an outline on the design of an expert system aimed at helping decision makers to operate flood control dams and to plan civil defense in flood prone. The problem is first described and the need for an expert system is justified by the complexi ty of land use in the area as well a ..."
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This paper presents an outline on the design of an expert system aimed at helping decision makers to operate flood control dams and to plan civil defense in flood prone. The problem is first described and the need for an expert system is justified by the complexi ty of land use in the area as well

An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization

by Qihang Lin, Lin Xiao
"... We first propose an adaptive accelerated prox-imal gradient (APG) method for minimizing strongly convex composite functions with un-known convexity parameters. This method in-corporates a restarting scheme to automatical-ly estimate the strong convexity parameter and achieves a nearly optimal iterat ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
iteration complexi-ty. Then we consider the ℓ1-regularized least-squares (ℓ1-LS) problem in the high-dimensional setting. Although such an objective function is not strongly convex, it has restricted strong convexity over sparse vectors. We exploit this property by combining the adaptive APG method with a
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