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Cover of ERCIM News 107

ERCIM News 107

October 2016

Special theme Machine Learning

Guest editors Sander Bohte (CWI ) and Hung Son Nguyen (University of Warsaw)

PDF of ERCIM News 107 ePub of ERCIM News 107 60 pages

In this issue

  • Research and Innovation
  • In Brief
  • Special Theme
  • Research and Society

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Modern Machine Learning: More with Less, Cheaper and Better

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Category: Special Theme: Machine Learning
Published: 28 September 2016
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by Sander Bohte (CWI)  and Hung Son Nguyen (University of Warsaw)

While the discipline of machine learning is often conflated with the general field of AI, machine learning specifically is concerned with the question of how to program computers to automatically recognise complex patterns and make intelligent decisions based on data. This includes such diverse approaches as probability theory, logic, combinatorial optimisation, search, statistics, reinforcement learning and control theory. In this day and age with an abundance of sensors and computers, applications are ubiquitous, ranging from vision to language processing, forecasting, pattern recognition, games, data mining, expert systems and robotics.

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Open Science: Taking Our Destiny into Our Own Hands

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Category: Research and Society - Open Access, Open Science
Published: 28 September 2016
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by Laurent Romary (Inria)

There is currently a tug-of-war going on within the arena of scientific communication: scientists are exploring new, more efficient and affordable ways to disseminate research results, but at the same time, a web of private publishing companies (and even learned societies) are endeavouring to preserve their financial turnover on the basis of models from a previous era. This tension is echoed in the recent news relating to scholarly communication within Europe as a whole, and within individual countries:

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ERCIM Goes to Open Access

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Category: Research and Society - Open Access, Open Science
Published: 28 September 2016
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by Jos Baeten (CWI) and Claude Kirchner (Inria)

At its October 2014 meeting, the EEIG ERCIM board installed a task group Boost Open Access Mastering (BOM), chaired by us, with the goal of facilitating the sharing of information and the strategies of ERCIM participants in regard to open access. The ensuing report [L1], a plea for author control, which was adopted by the board in October 2015, recommends an open-access strategy and identified tools shared or to be shared by several ERCIM members.

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Will Europe Liberate Knowledge through Content Mining?

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Category: Research and Society - Open Access, Open Science
Published: 28 September 2016
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by Peter Murray-Rust (University of Cambridge)

Scholarly publications, especially science and medicine, have huge amounts of untapped knowledge, but it’s a technical challenge to extract it and there’s a political fight in Europe as to whether we can legally do it.

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  • Roads to Open Access: The Good, the Bad and the Ugly
  • Open-Access Repositories and the Open Science Challenge
  • LIPIcs – an Open-Access Series for International Conference Proceedings
  • Scientific Data and Preservation – Policy Issues for the Long-term Record
  • Micro-Data Learning: The Other End of the Spectrum
  • Making Learning Physical: Machine Intelligence and Quantum Resources
  • Marrying Graphical Models with Deep Learning
  • Privacy Aware Machine Learning and the “Right to be Forgotten”
  • Robust and Adaptive Methods for Sequential Decision Making
  • Neural Random Access Machines
  • Mining Similarities and Concepts at Scale
  • Fast Traversal of Large Ensembles of Regression Trees
  • Optimising Deep Learning for Infinite Applications in Text Analytics
  • Towards Streamlined Big Data Analytics
  • Autonomous Machine Learning
  • Curiosity and Intrinsic Motivation for Autonomous Machine Learning
  • Applied Data Science: Using Machine Learning for Alarm Verification
  • Towards Predictive Pharmacogenomics Models
  • Optimisation System for Cutting Continuous Flat Glass
  • Online Learning for Aggregating Forecasts in Renewable Energy Systems
  • Bonaparte: Bayesian Networks to Give Victims back their Names
  • BASMATI – Cloud Brokerage Across Borders For Mobile Users And Applications
  • Predictive Modelling from Data Streams
  • Mandola: Monitoring and Detecting Online Hate Speech
  • The BÆSE Testbed – Analytic Evaluation of IT Security Tools in Specified Network Environments
  • Behaviour-Based Security for Cyber-Physical Systems
  • The TISRIM-Telco Toolset – An IT Regulatory Framework to Support Security Compliance in the Telecommunications Sector
  • Predicting the Extremely Low Frequency Magnetic Field Radiation Emitted from Laptops: A New Approach to Laptop Design
  • Managing Security in Distributed Computing: Self-Protective Multi-Cloud Applications
  • 2016 Internet Defense Prize for Quantum-safe Cryptography

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ERCIM News is published by ERCIM – the European Research Consortium for Informatics and Mathematics.

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Articles in the Special Theme and Research and Innovation sections are referenced by DBLP.

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