Machine Learning Optimization and Big Data Third International Conference MOD 2017 Volterra Italy September 14 17 2017 Revised Selected Papers 1st Edition by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton ISBN 331972925X 9783319729268

Machine Learning Optimization and Big Data Third International Conference MOD 2017 Volterra Italy September 14 17 2017 Revised Selected Papers 1st Edition by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton – Ebook PDF Instant Download/Delivery: 331972925X, 9783319729268
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ISBN 10: 331972925X 
ISBN 13: 9783319729268
Author: Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton

This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Machine Learning Optimization and Big Data Third International Conference MOD 2017 Volterra Italy September 14 17 2017 Revised Selected Papers 1st Table of contents:

Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models
Improving Support Vector Machines Performance Using Local Search
Projective Approximation Based Quasi-Newton Methods
Intra-feature Random Forest Clustering
Dolphin Pod Optimization
Contraction Clustering (RASTER)
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms
On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis
A Comparative Study on Term Weighting Schemes for Text Classification
Dual Convergence Estimates for a Family of Greedy Algorithms in Banach Spaces
Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization
A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner’s Dilemma
Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter
Forecasting Natural Gas Flows in Large Networks
A Differential Evolution Algorithm to Semivectorial Bilevel Problems
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch
Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety
Multi-objective Genetic Algorithm for Interior Lighting Design
An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix
A Simple and Effective Lagrangian-Based Combinatorial Algorithm for SVMs
A Heuristic Based on Fuzzy Inference Systems for Multiobjective IMRT Treatment Planning
Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison Study
Mineral: Multi-modal Network Representation Learning
Visual Perception of Mixed Homogeneous Textures in Flying Pigeons
Estimating Dynamics of Honeybee Population Densities with Machine Learning Algorithms
SQG-Differential Evolution for Difficult Optimization Problems under a Tight Function Evaluation Budget
Age and Gender Classification of Tweets Using Convolutional Neural Networks
Approximate Dynamic Programming with Combined Policy Functions for Solving Multi-stage Nurse Rostering Problem
A Data Mining Tool for Water Uses Classification Based on Multiple Classifier Systems
Parallelized Preconditioned Model Building Algorithm for Matrix Factorization
A Quantitative Analysis on Required Network Bandwidth for Large-Scale Parallel Machine Learning
Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks?
BRKGA-VNS for Parallel-Batching Scheduling on a Single Machine with Step-Deteriorating Jobs and Release Times
Petersen Graph is Uniformly Most-Reliable
GRASP Heuristics for a Generalized Capacitated Ring Tree Problem
Data-Driven Job Dispatching in HPC Systems
AbstractNet: A Generative Model for High Density Inputs
A Parallel Framework for Multi-Population Cultural Algorithm and Its Applications in TSP
Honey Yield Forecast Using Radial Basis Functions
Graph Fragmentation Problem for Natural Disaster Management
Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment
Robust Reinforcement Learning with a Stochastic Value Function
Finding Smooth Graphs with Small Independence Numbers
BioHIPI: Biomedical Hadoop Image Processing Interface
Evaluating the Dispatching Policies for a Regional Network of Emergency Departments Exploiting Health Care Big Data
Refining Partial Invalidations for Indexed Algebraic Dynamic Programming
Subject Recognition Using Wrist-Worn Triaxial Accelerometer Data
Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis

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Giuseppe Nicosia,Panos Pardalos,Giovanni Giuffrida,Renato Umeton,Optimization,Big Data