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International workshop on machine learning, optimization, and big data

召开年：2017
召开地：Volterra(IT)
出版时间：-

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1.Dual Convergence Estimates for a Family of Greedy Algorithms in Banach Spaces

机译：Banach空间中贪婪算法族的对偶收敛估计
- 作者：S. P. Sidorov;S. V. Mironov;M. G. Pleshakov
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Greedy algorithms;
- Nonlinear optimization;
- Sparsity;
2.Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization

机译：形状优化中减少设计空间维数的非线性方法
- 作者：Danny DAgostino;Andrea Serani;Emilio F. Campana;Matteo Diez
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Shape optimization;
- Hull-form design;
- Nonlinear dimensionality reduction;
- Kernel methods;
- Deep autoencoder;
3.A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner's Dilemma

机译：差分迭代算法，用于制定迭代囚徒困境的策略
- 作者：Manousos Rigakis;Dimitra Trachanatzi;Magdalene Marinaki;Yannis Marinakis
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Differential evolution;
- Game theory;
- Iterated Prisoner's Dilemma;
4.Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter

机译：在Twitter上自动创建大型且经过抛光的训练集以进行情感分析
- 作者：Stefano Cagnoni;Paolo Fornacciari;Juxhino Kavaja;Monica Mordonini;Agostino Poggi;Alex Solimeo;Michele Tomaiuolo
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Social media;
- Emotion detection;
- Distant supervision;
- Machine learning;
5.Forecasting Natural Gas Flows in Large Networks

机译：预测大型网络中的天然气流量
- 作者：Mauro DellAmico;Natalia Selini Hadjidimitriou;Thorsten Koch;Milena Petkovic
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Machine learning;
- Neural networks;
- Genetic algorithm;
- Simulated annealing;
- Design Of Experiments (DOE);
- Time series forecast;
6.A Differential Evolution Algorithm to Semivectorial Bilevel Problems

机译：半向量双水平问题的差分进化算法
- 作者：Maria Joao Alves;Carlos Henggeler Antunes
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
7.Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces

机译：不断发展的训练集，可改善大脑计算机界面中的转移学习
- 作者：Jason Adair;Alexander Brownlee;Fabio Daolio;Gabriela Ochoa
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Optimisation;
- Machine learning;
- Ensemble;
- Brain-computer interface;
- P300;
- Evolutionary computation;
- Transfer learning;
8.Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch

机译：确定性粒子群与局部线搜索的全局/局部无导数混合多目标优化
- 作者：Riccardo Pellegrini;Andrea Serani;Giampaolo Liuzzi;Francesco Rinaldi;Stefano Lucidi;Emilio F. Campana;Umberto Iemma;Matteo Diez
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
9.Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety

机译：人工蜂群优化以重新分配人员以提高工作场所安全性的任务
- 作者：Beatrice Lazzerini;Francesco Pistolesi
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Bee colony algorithm;
- Occupational safety and health;
- Multi-objective optimization;
- Personnel reallocation;
- Risk perception;
- TOPSIS;
10.Multi-objective Genetic Algorithm for Interior Lighting Design

机译：室内照明设计的多目标遗传算法
- 作者：Alice Piebe;Mario Pavone
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Lighting design;
- Genetic algorithm;
- Blender;
11.An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix

机译：矩形矩阵列选择问题的基本方法
- 作者：Stephane Chretien;Sebastien Darses
- 会议名称：《》 | 2017年
- Bourgain Tzafriri theorem;
- Restricted invertibility;
- Column selection problems;
12.A Simple and Effective Lagrangian-Based Combinatorial Algorithm for S~3VMs

机译：一种简单有效的基于拉格朗日算法的S〜3VM组合算法
- 作者：Francesco Bagattini;Paola Cappanera;Fabio Schoen
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Semi-supervised learning;
- Support vector machines;
- Lagrangian combinatorial heuristics;
13.A Heuristic Based on Fuzzy Inference Systems for Multiobjective IMRT Treatment Planning

机译：基于模糊推理的启发式多目标IMRT治疗计划
- 作者：Joana Dias;Humberto Rocha;Tiago Ventura;Brigida Ferreira;Maria do Carmo Lopes
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Multiobjective;
- Radiotherapy planning;
- Fuzzy inference systems;
14.Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison Study

机译：预测大数据集中缺失值的数据驱动机器学习方法：一项比较研究
- 作者：Ogerta Elezaj;Sule Yildirim;Edlira Kalemi
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Imputation;
- Data pre-processing;
- Clustering;
- Decision tree;
- Neural networks;
- Hot-Deck;
15.Mineral: Multi-modal Network Representation Learning

机译：矿物：多模式网络表示学习
- 作者：Zekarias T. Kefato;Nasrullah Sheikh;Alberto Montresor
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- NRL;
- Diffusion patterns;
- Cascades;
16.Visual Perception of Mixed Homogeneous Textures in Flying Pigeons

机译：鸽子飞行中混合均匀纹理的视觉感知
- 作者：Margarita Zaleshina;Alexander Zaleshin;Adriana Galvani
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Visual perception;
- Spatial navigation;
- Brain activity;
17.Estimating Dynamics of Honeybee Population Densities with Machine Learning Algorithms

机译：用机器学习算法估计蜜蜂种群密度的动力学
- 作者：Ziad Salem;Gerald Radspieler;Karlo Griparic;Thomas Schmickl1
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Machine learning;
- Data mining;
- Classification algorithms;
- Density estimation;
- Robots;
- Honeybees;
18.SQG-Differential Evolution for Difficult Optimization Problems under a Tight Function Evaluation Budget

机译：紧函数评估预算下困难优化问题的SQG微分进化
- 作者：Ramses Sala;Niccolo Baldanzini;Marco Pierini
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
19.Age and Gender Classification of Tweets Using Convolutional Neural Networks

机译：使用卷积神经网络对推文进行年龄和性别分类
- 作者：Roy Khristopher Bayot;Teresa Gongalves
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Author profiling;
- Twitter;
- Word vectors;
- Word2vec;
- Convolutional neural networks;
20.Approximate Dynamic Programming with Combined Policy Functions for Solving Multi-stage Nurse Rostering Problem

机译：带有组合策略函数的近似动态规划，用于解决多阶段护士名册问题
- 作者：Peng Shi;Dario Landa-Silva
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Dynamic programming;
- Approximation function Policy function;
- Nurse scheduling problem;
21.Honey Yield Forecast Using Radial Basis Functions

机译：使用径向基函数的蜂蜜产量预测
- 作者：Humberto Rocha;Joana Dias
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Honey yield;
- Weather;
- Radial basis functions;
- Variable screening;
22.Graph Fragmentation Problem for Natural Disaster Management

机译：自然灾害管理中的图碎片化问题
- 作者：Natalia Castro;Graciela Ferreira;Franco Robledo;Pablo Romero
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
23.Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment

机译：具有一个公共和多个辅助资源的作业排序：粒子疗法引发的癌症治疗问题
- 作者：Matthias Horn;Guenther Raidl;Christian Blum
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
24.Robust Reinforcement Learning with a Stochastic Value Function

机译：具有随机值函数的强大强化学习
- 作者：Reiji Hatsugai;Mary Inaba
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
25.Finding Smooth Graphs with Small Independence Numbers

机译：查找具有小独立数的平滑图
- 作者：Benedikt Klocker;Herbert Fleischner;Guenther R. Raidl
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Branch and bound;
- Smooth graphs;
- Combinatorial optimization;
26.BioHIPI: Biomedical Hadoop Image Processing Interface

机译：BioHIPI：生物医学Hadoop图像处理接口
- 作者：Francesco Calimeri;Mirco Caracciolo;Aldo Marzullo;Claudio Stamile
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Big Data;
- Hadoop;
- Image processing;
27.Evaluating the Dispatching Policies for a Regional Network of Emergency Departments Exploiting Health Care Big Data

机译：评估急诊部门利用医疗大数据的区域网络的调度政策
- 作者：Roberto Aringhieri;Davide DellAnna;Davide Duma;Michele Sonnessa
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Emergency care pathway;
- Health systems;
- Big data;
28.Refining Partial Invalidations for Indexed Algebraic Dynamic Programming

机译：为索引代数动态规划提炼部分无效
- 作者：Christopher Bacher;Giinther R. Raidl
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Algebraic Dynamic Programming;
- Formal grammars;
- Incremental evaluation;
- Logic programming;
29.Subject Recognition Using Wrist-Worn Triaxial Accelerometer Data

机译：使用腕戴式三轴加速度计数据进行物体识别
- 作者：Stefano Mauceri;Louis Smith;James Sweeney;James McDermott
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Accelerometer data;
- Anomaly detection;
- Classification;
- Clinical trials;
30.Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis

机译：多元时间序列分析检测B细胞网络中与年龄相关的变化
- 作者：Alberto Castellini;Giuditta Franco
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
31.A Data Mining Tool for Water Uses Classification Based on Multiple Classifier Systems

机译：基于多分类器系统的用水分类数据挖掘工具
- 作者：Ivan Dario Lopez;Cristian Heidelberg Valencia;Juan Carlos Corrales
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Classification;
- Machine learning;
- Multiple classifier systems;
- Water quality;
32.Parallelized Preconditioned Model Building Algorithm for Matrix Factorization

机译：矩阵分解的并行预处理模型构建算法
- 作者：Kamer Kaya;S. Ilker Birbil;M. Kaan OEztiirk;Amir Gohari
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Preconditioned model building;
- Matrix factorization;
- Multicore parallelism;
33.A Quantitative Analysis on Required Network Bandwidth for Large-Scale Parallel Machine Learning

机译：大规模并行机器学习所需网络带宽的定量分析
- 作者：Mingxi Li;Yusuke Tanimura;Hidemoto Nakada
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
34.Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks?

机译：差分进化可以成为优化神经网络的有效引擎吗？
- 作者：Marco Baioletti;Gabriele Di Bari;Valentina Poggioni;Mirco Tracolli
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
35.BRKGA-VNS for Parallel-Batching Scheduling on a Single Machine with Step-Deteriorating Jobs and Release Times

机译：BRKGA-VNS用于单台机器上的并行批生产调度，具有逐步恶化的作业和发布时间
- 作者：Chunfeng Ma;Min Kong;Jun Pei;Panos M. Pardalos
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Parallel-batching;
- Step-deteriorating;
- Release times;
- Makespan;
36.Petersen Graph is Uniformly Most-Reliable

机译：Petersen图一致最可靠
- 作者：Guillermo Rela;Franco Robledo;Pablo Romero
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Network reliability analysis;
- Uniformly most-reliable graphs;
- Petersen graph;
37.GRASP Heuristics for a Generalized Capacitated Ring Tree Problem

机译：广义带电容环树问题的GRASP启发式方法
- 作者：Gabriel Baya;Antonio Mauttone;Franco Robledo;Pablo Romero
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Network survivability;
- CTNSTP;
- GRASP;
- VND;
38.Data-Driven Job Dispatching in HPC Systems

机译：HPC系统中的数据驱动的作业调度
- 作者：Cristian Galleguillos;Alina Sirbu;Zeynep Kiziltan;Ozalp Babaoglu;Andrea Borghesi;Thomas Bridi
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
39.AbstractNet: A Generative Model for High Density Inputs

机译：AbstractNet：高密度输入的生成模型
- 作者：Boris Musarais
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Unsupervised learning;
- Generative model;
- Audio;
- Auto-Encoder;
- LSTM;
- RNN;
- Deep neural networks;
- Data compression;
40.A Parallel Framework for Multi-Population Cultural Algorithm and Its Applications in TSP

机译：多元文化算法的并行框架及其在TSP中的应用
- 作者：Olgierd Unold;Radoslaw Tarnawski
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Cultural Algorithm;
- Multi-Population;
- GPU computing;
- CUDA architecture;
- Travelling Salesman Problem;
- Ant Colony Optimization;
- Genetic Algorithm;
41.Preface

机译：前言
- 作者：Giuseppe Nicosia;Panos Pardalos;Giovanni Giuffrida;Renato Umeton
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
42.Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models

机译：将大数据机器读取转换为可执行的蜂窝信令模型的食谱
- 作者：Khaled Sayed;Cheryl A. Telmer;Adam A. Butchy;Natasa Miskov-Zivanov
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Machine reading;
- Big data in literature;
- Text mining;
- Cell signaling networks;
- Automated model generation;
43.Improving Support Vector Machines Performance Using Local Search

机译：使用本地搜索提高支持向量机的性能
- 作者：S. Consoli;J. Kustra;P. Vos;M. Hendriks;D. Mavroeidis
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
44.Projective Approximation Based Quasi-Newton Methods

机译：基于投影逼近的拟牛顿法
- 作者：Alexander Senov
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Least-squares;
- Function approximation;
- Convex optimization;
- Iterative methods;
- Quadratic programming;
- Quasi-Newton methods;
- Projective methods;
45.Intra-feature Random Forest Clustering

机译：功能内随机森林聚类
- 作者：Michael Cohen
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Cluster analysis;
- Random forest;
- Unsupervised learning Ensemble;
- Figure of Merit;
46.Dolphin Pod Optimization A Nature-Inspired Deterministic Algorithm for Simulation-Based Design

机译：海豚吊舱优化基于自然的确定性算法，用于基于仿真的设计
- 作者：Andrea Serani;Matteo Diez
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Dolphin pod optimization;
- Deterministic optimization;
- Global optimization;
- Derivative-free optimization;
47.Contraction Clustering (Raster) A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time

机译：压缩聚类（栅格）：一种基于大数据的基于恒定内存和线性时间的密度聚类算法
- 作者：Gregor Ulm;Emil Gustavsson;Mats Jirstrand
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
- Algorithms;
- Big data;
- Machine learning;
- Unsupervised learning;
- Clustering;
48.Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms

机译：将深度统计比较应用于质量指标以比较多目标随机优化算法
- 作者：Tome Eftimov;Peter Korosec;Barbara Korousic Seljak1
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
49.On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis

机译：在代谢途径分析中明确使用酶-底物反应
- 作者：Angelo Lucia;Edward Thomas;Peter A. DiMaggio2
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年
50.A Comparative Study on Term Weighting Schemes for Text Classification

机译：文本分类术语加权方案的比较研究
- 作者：Ahmad Mazyad;Fabien Teytaud;Cyril Fonlupt
- 会议名称：《International workshop on machine learning, optimization, and big data》 | 2017年