opti-mization
Learning Optimal Classification Trees Using a Binary Linear Program Formulation
... A limitation of the state-of-the-art Mathematical Opti- mization formulations for this problem is that they cre- ate constraints and variables for every row in the training data (Verwer [r] ...
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Optimizing a Rete-based Inference Engine using a Hybrid Heuristic and Pyramid based Indexes on Ontological Data
... Abstract— This paper describes indexing of ontological data to reduce the memory consumption of a Rete-based reasoner whose time performance is increased using a hybrid opti- mization he[r] ...
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Genetic Algorithms for the Optimization of Catalysts in Chemical Engineering
... above opti- mization task - both deterministic ones, in particular the simplex method and holographic strategy, and stochastic ones, such as simulated annealing, or genetic and other evolutionary ...
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Efficient Hyper parameter Optimization for NLP Applications
... Figures 1 and 2 compare the test accuracy of our proposed multi-stage Bayesian optimization as a function of tuning time for QA and Yelp, respec- tively. The state-of-the-art Bayesian optimiza- tion (Snoek et al., 2012) ...
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Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers
... Graph-based dependency parsers suffer from the sheer number of higher order edges they need to (a) score and (b) consider during opti- mization. Here we show that when working with LP relaxations, large ...
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Semi Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
... In addition, we can simply apply the F-score opti- mization technique for the sequence labeling tasks proposed in Suzuki et al., 2006 to boost the HySOL performance since the base discri[r] ...
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Exploration of dual supply voltage logic synthesis in state-of-the-art ASIC design flows
... We optimized the power consumption of 15 combinational MCNC benchmark circuits, firstly, using the state-of-the-art methodology for power-driven logic synthesis (SSV opti- mization, STEP[r] ...
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Natural Evolution Strategies
... black-box opti- mization algorithms that use the natural gradient to update a parameterized search distri- bution in the direction of higher expected ...
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Combined preliminary–detailed design of wind turbines
... multi-disciplinary opti- mization procedure is presented that marries the overall sizing of the machine in terms of rotor diameter and tower height (often termed “preliminary design”) with the detailed ...
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LHD-Type Magnetic Configuration with Large Blanket Space
... In this study we use simplified continuous winding helical coils, which are split into three blocks. The opti- mization of the magnetic field is achieved by adjusting the current values of each coil block. ...
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<p>Pediatric Antimicrobial Stewardship Programs: Current Perspectives</p>
... include opti- mization of antibiotic use and improvement in clinical outcomes for children, while certain core operational strategies and metrics used to measure program effectiveness are typically utilized ...
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Optimization Of User Behaviour Based Handover Using Fuzzy Logic
... the opti- mization of the self-optimizing parameter like handover mar- gin and time-to-trigger (TTT) depending on the multiple crite- ria namely handover ping-pong (HOPP), user equipment (UE) speed and the ...
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Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time
... Abstract. The Expected Hypervolume Improvement (EHVI) is a fre- quently used infill criterion in surrogate-assisted multi-criterion opti- mization. It needs to be frequently called during the execution of ...
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Sealing Performance and Optimization of a Subsea Pipeline Mechanical Connector
... for opti- mization, with structure parameters of the sealing part as design variables, mean contact pressures and plastic strains on two sealing surfaces and variance of contact pressure on the second ...
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The scientific impact of microbial cell factories
... the opti- mization of the nisin controlled gene expression system NICE of Lactococcus lactis for industrial purposes [64] and the applications of this system, ranging from membrane proteins to large scale ...
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Performances Analysis of the Reverse Osmosis Desalination Plant of Brackish Water Used for Irrigation: Case Study
... It is enormously important to carry out a study designed at ensuring the optimization of the pretreatment system for brackish desalination plant in order to opti[r] ...
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Numerical Experiments with the Lagrange Multiplier and Conjugate Gradient Methods (ILMCGM)
... This, then call for the Numerical Experiments with the Lagrange Multiplier Conjugate Gradient Method (ILMCGM) that is aimed at taking care of any constrained opti[r] ...
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Reconfiguration of Actual Distribution Network with Optimum Power Flow for Loss Reduction
... As a result, the chosen network section is modelled and a reconfiguration algorithm is generated on Matlab, based on opening switches consecutively according to opti[r] ...
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A process evaluation of a cluster randomised trial to reduce potentially inappropriate prescribing in older people in primary care (OPTI SCRIPT study)
... GP practices despite receiving a standardised academic detailing session. First, just over 70 % of practices com- pleted medicines review as recommended with the patient present. Medications were more likely to be ...
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DEVELOPMENT AND CHARACTERIZATION OF LOVASTATIN LOADED MICROSPHERES
... v) Determination of Particle Size of microspheres: The particle size of the microspheres was determined by using an Optical microscope. The microspheres were examined by opti[r] ...
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