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检索条件"任意字段=16th International Conference and Workshops on Algorithms and Computation"

共 216 条记录，以下是61-70 订阅

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Sparse hybrid variational-Gibbs algorithm for latent Dirichlet allocation 16

Sparse hybrid variational-Gibbs algorithm for latent Dirichl...

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16th SIAM international conference on Data Mining 2016, SDM 2016

作者： Li, Ximing Ouyang, Jihong Zhou, Xiaotang College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China

ISBN: (纸本)9781510828117

Topic modeling algorithms such as the latent Dirichlet allocation (LDA) play an important role in machine learning research. Fitting LDA using Gibbs sampler-related algorithms involves a sampling process over K topics. We can use the sparsity in LDA to accelerate this expensive topic sampling process even for very large K values. However, LDA gradually loses sparsity as the number of documents increases. Motivated by the goal of fast LDA inference with large numbers of both topics and documents, in this paper we propose the novel sparse hybrid variational-Gibbs (SHVG) algorith-m. the SHVG algorithm divides the topic sampling probability into a sparse term that scales linearly with the number of per-document instantiated topics Kd, and a dense term that uses the Alias method to reduce the time cost to constant 0(1) time. this will lead to a significant improvement on efficiency. Using stochastic optimization techniques, we further develop an online version of SHVG for streaming documents. Experimental results on corpora with a wide range of sizes demonstrate the efficiency and effectiveness of the proposed SHVG algorithm. Copyright © by SIAM.

关键词： Efficiency

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Computing the Leakage of Information-Hiding Systems

Computing the Leakage of Information-Hiding Systems

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16th international conference on Tools and algorithms for the Construction and Analysis of Systems held at the 13th Joint European conferences on theory and Practice of Software

作者： Andres, Miguel E. Palamidessi, Catuscia van Rossum, Peter Smith, Geoffrey Institute for Computing and Information Sciences Netherlands INRIA LIX École Polytechnique Palaiseau France SCIS Florida International University United States

ISBN: (纸本)9783642120015

We address the problem of computing the information leakage of a system in an efficient way. We propose two methods: one based on reducing the problem to reachability, and the other based on techniques from quantitative counterexample generation. the second approach can be used either for exact or approximate computation, and provides feedback for debugging. these methods can be applied also in the case in which the input distribution is unknown. We then consider the interactive case and we point out that the definition of associated channel proposed in literature is not sound. We show however that the leakage can still be defined consistently, and that our methods extend smoothly.

关键词： Computers

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Margin analysis of the LVQ algorithm 15

Margin analysis of the LVQ algorithm

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16th Annual Neural Information Processing Systems conference, NIPS 2002

作者： Crammer, Koby Gilad-Bachrach, Ran Navot, Amir Tishby, Naftali School of Computer Science and Engineering Interdisciplinary Center for Neural Computation Hebrew University Jerusalem Israel

ISBN: (纸本)0262025507

Prototypes based algorithms are commonly used to reduce the computational complexity of Nearest-Neighbour (NN) classifiers. In this paper we discuss theoretical and algorithmical aspects of such algorithms. On the theory side, we present margin based generalization bounds that suggest that these kinds of classifiers can be more accurate then the 1-NN rule. Furthermore, we derived a training algorithm that selects a good set of prototypes using large margin principles. We also show that the 20 years old Learning Vector Quantization (LVQ) algorithm emerges naturally from our framework.

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Distributed Graph Analytics 16th

Distributed Graph Analytics

引用

16th international conference on Distributed Computing and Internet Technology (ICDCIT)

作者： Srikant, Y. N. Indian Inst Sci Bengaluru 560012 India

ISBN: (纸本)9783030369873;9783030369866

Graph Analytics is important in different domains: social networks, computer networks, and computational biology to name a few. this paper describes the challenges involved in programming the underlying graph algorithms for graph analytics for distributed systems with CPU, GPU, and multi-GPU machines and how to deal with them. It emphasizes how language abstractions and good compilation can ease programming graph analytics on such platforms without sacrificing implementation efficiency.

关键词： Graph analytics Social networks Parallel algorithms Multi-core processors GPU computation Graph frameworks Graph processing languages

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High Performance Computing and Economic Scenario Generation: Integrating Expert Forecasts into Plane Price Modeling

High Performance Computing and Economic Scenario Generation:...

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16th international Euro-Par conference on Parallel Processing

作者： Fayssal, El Moufatich Sebastian, Willutzky Houssam, Haitof Risklab GmbH Seidlstr 24a Munich Germany Tech Univ Munich Garching Germany

ISBN: (纸本)9783642218781;9783642218774

the problem at hand is the integration of expert forecasts for plane prices into a fully calibrated basic economy. the economy is simulated through an Economic Scenario Generator (ESG), which includes macroeconomic processes, interest rate term structures, etc.. By defining the available best-case, worst-case, and mid-case forecasts to correspond to the 95%, the 50% and the 5% quantiles of the plane price distribution, one could describe the problem with the following optimization setting:

关键词： Economic Scenario Generation Plane Price Modelling Expert Forecasts GPU computation Differential Evolution

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First ACM international workshop on analysis and retrieval of events, actions and workflows in video streams 08

First ACM international workshop on analysis and retrieval o...

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16th ACM international conference on Multimedia, MM '08

作者： Doulamis, Anastasios Gool, Luc Van Nixon, Mark Varvarigou, theodora Doulamis, Nikolaos Technical University of Crete Polytecnhioupolis Campus Chania Crete Greece Eidgenoessische Technische Hochschule Zuerich Computer Vision Laboratory Sternwartstrasse 7 Zurich Switzerland University of Southampton Computer Vision in the ISIS research group United Kingdom National Technical University of Athens 9 Heroon Polytechniou Street Greece

ISBN: (纸本)9781605583037

AREA 2008 is the first ACM international workshop on analysis and retrieval of events, actions and workflows in video streams. Such research is nowadays critical for many real-life applications, such as area supervision, semantic characterization and annotation of video streams, quality assurance, and security. this workshop consists of 16 high quality papers organized in four thematic sessions;(a) objects tracking algorithms under complex environments, (b) methods, tools and architectures for detecting high level semantics, (c) new algorithms for analyzing video sequences oriented to detecting humans' actions or implicitly annotating multimedia content and (d) the recent advantages of the ongoing research projects in this field.

关键词： Quality assurance

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16th international conference on algorithms and Architectures for Parallel Processing, ICA3PP 2016

16th International Conference on Algorithms and Architecture...

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16th international conference on algorithms and Architectures for Parallel Processing, ICA3PP 2016

ISBN: (纸本)9783319495828

the proceedings contain 52 papers. the special focus in this conference is on Parallel, Distributed Architectures, Software Systems, Programming, Distributed, Network-Based Computing, Big Data, Its Applications, Parallel, Distributed algorithms, Performance Modeling and Evaluation. the topics include: Optimizing execution performance by automatic query relaxation and queue scheduling;hardware-based sequential consistency violation detection made simpler;optimized mapping spiking neural networks onto network-on-chip;a portable lock-free bounded queue;creating distributed execution plans with bobolangng;a new scalable approach for distributed metadata in HPC;enabling android-based devices to high-end GPGPUs;3-additive approximation algorithm for multicast time in 2D torus networks;a novel optical high-radix switch architecture for 3D integration;a platform based on microclouds for neighborhood services;impact of shutdown techniques for energy-efficient cloud data centers;implement and optimization of indoor positioning system based on Wi-Fi signal;road segment information based named data networking for vehicular environments;energy-aware query processing on a parallel database cluster node;current flow betweenness centrality with apache spark;light loss-less data compression, with GPU implementation;a GPU-based backtracking algorithm for permutation combinatorial problems;scaling DBSCAN-like algorithms for event detection systems in twitter;towards parallel CFD computation for the ADAPT framework;leveraging the performance of LBM-HPC for large sizes on GPUs using ghost cells;locality of computation for stencil optimization;an efficient implementation of LZW compression in the FPGA and GPU-based heterogeneous coding architecture for HEVC.

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Towards a Spatial Model Checker on GPU 41st

Towards a Spatial Model Checker on GPU

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41st IFIP WG 6.1 international conference on Formal Techniques for Distributed Objects, Components, and Systems Held as Part of the 16th international Federated conference on Distributed Computing Techniques (DisCoTec)

作者： Bussi, Laura Ciancia, Vincenzo Gadducci, Fabio Univ Pisa Dipartimento Informat Pisa Italy CNR Ist Sci & Tecnol Informaz Pisa Italy

ISBN: (纸本)9783030780890;9783030780883

the tool VoxLogicA merges the state-of-the-art library of computational imaging algorithms ITK with the combination of declarative specification and optimised execution provided by spatial logic model checking. the analysis of an existing benchmark for segmentation of brain tumours via a simple logical specification reached very high accuracy. We introduce a new, GPU-based version of VoxLogicA and present preliminary results on its implementation, scalability, and applications.

关键词： Spatial logics Model checking GPU computation

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Initial experiments in visualization of empirical attainment function differences using maximum intensity projection 14

Initial experiments in visualization of empirical attainment...

引用

16th Genetic and Evolutionary computation conference Companion, GECCO 2014 Companion

作者： Tušar, Tea Filipič, Bogdan Department of Intelligent Systems Jožef Stefan Institute Jožef Stefan International Postgraduate School Jamova cesta 39 SI-1000 Ljubljana Slovenia

ISBN: (纸本)9781450328814

In multiobjective optimization, the Empirical Attainment Function (EAF) can be used to determine which areas of the objective space are attained by an optimization algorithm. If two algorithms are to be compared, differences in EAF values show which areas of the objective space are more often attained by one of the algorithms. While the visualization of EAF values and differences is rather straightforward in 2D, the 3D case presents a great challenge as we need to visualize a large number of 3D cuboids. this paper presents a method for computing the cuboids with constant EAF values and reports on initial experiments using Maximum Intensity Projection, a very-well known volume rendering technique used in medicine.

关键词： Multiobjective optimization

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Open Source Evolutionary computation with Chips-n-Salsa 16th

Open Source Evolutionary Computation with Chips-n-Salsa

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16th international Joint conference on computational Intelligence, IJCCI 2024

作者： Cicirello, Vincent A. Computer Science School of Business Stockton University 101 Vera King Farris Dr GallowayNJ United States

ISBN: (纸本)9789897587214

When it was first introduced, the Chips-n-Salsa Java library provided stochastic local search and related algorithms, with a focus on self-adaptation and parallel execution. For the past four years, we expanded its scope to include evolutionary computation. this paper concerns the evolutionary algorithms that Chips-n-Salsa now provides, which includes multiple evolutionary models, common problem representations, a wide range of mutation and crossover operators, and a variety of benchmark problems. Well-defined Java interfaces enable easily integrating custom representations and evolutionary operators, as well as defining optimization problems. Chips-n-Salsa’s evolutionary algorithms include implementations with adaptive mutation and crossover rates, as well as both sequential and parallel execution. Source code is maintained on Github, and immutable artifacts are regularly published to the Maven Central Repository to enable easily importing into projects for reproducible builds. Effective development processes such as test-driven development, as well as a variety of static analysis tools help ensure code quality. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Stochastic systems

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