We hope NeuroCuts can inspire a new generation of learning-based algorithms for packet classification. As a concrete example, NeuroCuts currently optimizes for the worst-case classification time or memory footprint. By considering a specific traffic pattern, NeuroCuts can be extended to other objectives such as average classification time.
Dec 4, 2007 - 2.5 Most Popular Machine Learning Models in the Literature . ..... We can also confirm that Hidden Markov models have received ..... methods to detect fraudulent behavior in applications such as credit card fraud, computer.
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Cells were seeded onto the sterilized no. 1 coverslips (VWR International, Batavia, IL) inside a 6-well plate with culture medium and maintained at 37 °C in an atmosphere of 5% CO 2; after reaching 80% confluence, cells were rinsed by PBS three times and then fixed by 4% paraformaldehyde for 15 min; after being washed by PBS three times, cells ...
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Logilab co-organizes with Octobus, a mini-sprint Mercurial to be held from Thursday 4 to Sunday 7 April in Paris. Logilab will host mercurial mini-sprint in its Paris premises on Thursday 4 and Friday 5 April. Octobus will be communicating very soon the place chosen to sprint during the weekend.
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Recent advances in neural networks have inspired people to design hybrid recommendation algorithms that can incorporate both (1) user-item interaction information and (2) content
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The baseline algorithm is based on neighbourhood co-occurrences. First, a parse tree is initialized and all tokens of a sentence are added as leaves. Afterwards, the two adjacent nodes containing the POS tags with the highest neighbourhood co-occurrence significance are merged consecutively until a binary tree has been created.
Nov 26, 2018 · Lars Klingbeil, general secretary of the Social Democratic Party in Germany, has called for the country to invest significantly in its own AI efforts. “We need a concrete investment strategy for AI that is backed by a sum in the billions,” wrote Klingbeil in an article for Tagesspiegel. “We have to stop taking it easy”.
Converging HPC and Big Data / AI Infrastructures at Scale on TSUBAME3 and ABCI Supercomputers Satoshi Matsuoka Professor, GSIC, Tokyo Institute of Technology /
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between the cellular user equipment (CUE) and D2D user equipment (DUE) which share the same frequency, the complexity of resource allocation. increases. Firstly, the interference model of D2D communications is analyzed. link is divided into two modes: One is centralized mode, with the intervention of base station (BS).
Instead of analysing only concrete executions of a program, one could treat such executions symbolically (i.e. with some variables that are not bound to concrete values) and use constraint solvers to determine this (symbolic) path feasibility so as to guide the path explorations of the system under test, which in combination with dynamic ...
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Sep 14, 2017 · concrete test-case and trace are obtained, and (ii) can also prove deadlock. freedom. Such symbolic execution starts from an initial distributed context, i.e., a set of locations and their initial tasks. Considering all possibilities. results in a combinatorial explosion on the different distributed contexts that. must be considered.
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A Surface Defect Detection Basedon Convolutional Neural NetworkXiaojun Wu 1,2(&) , Kai Cao 1 , and Xiaodong Gu 11Harbin Institute of Technology, Shenzhen 518055, Guangdong, [email protected] Key Laboratory for Advanced Motion Control and ModernAutomation Equipment, Shenzhen, Guangdong, ChinaAbstract.
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Xuemai Gu Gongliang Liu (Eds.) Bo Li 227 Machine Learning and Intelligent Communications Second International Conference, MLICOM 2017 Weihai, China, August 5–6, 2017 Proceedings, Part II Lecture Notes of the Institute for Computer Sciences, Social Informatics . and Telecommunications Engineering 227