Ocasta: Clustering Configuration Settings For Error Recovery Zhen Huang David Lie Department of Electrical and Computer Engineering University of Toronto Abstract—Effective machine-aided diagnosis and repair of

Source URL: www.eecg.toronto.edu

A Four Stack Processor Bernd Paysan 25th April 2000 Abstract This article presents an experimental architecture of a four stack/dual data move CPU. Such a four stack machine was proposed in spring 1993 in the article thr

Source URL: bernd-paysan.de

Yet Another Platform for Extracting Knowledge from Corpora Francesca Fallucchi, Fabio Massimo Zanzotto DISP - University of Rome “Tor Vergata” (Italy) , Abstract Th

Source URL: art.uniroma2.it

• Computational linguistics
• Linguistics
• Academia
• Applied linguistics
• Semantics
• Natural language processing
• Discourse analysis
• Machine learning
• Distributional semantics
• Text corpus
• Equivalence relation
• Terminology extraction

Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in

Source URL: cl.indiana.edu

• Machine learning
• Artificial intelligence
• Learning
• Statistical classification
• Cognition
• Natural language processing
• Semi-supervised learning
• Co-training
• Supervised learning
• Domain adaptation
• Sentiment analysis
• Support vector machine

Design & Implementation of BigV Matthew Bloch December 4, 2012 Abstract BigV is a new hosting platform designed for “self-service” virtual machines (or VPSs or "cloud" servers). It is based around Linux’s KVM virtu

Source URL: blog.bytemark.co.uk

• Software
• Computing
• System software
• Cloud infrastructure
• VM
• Virtual machine
• QEMU
• Virtualization
• Eucalyptus
• OpenStack
• Hyper-V

1 16. Statistical learning as a domain-general mechanism of entrenchment Ethan Jost & Morten H. Christiansen Abstract

Source URL: cnl.psych.cornell.edu

• Education
• Cognition
• Academia
• Educational psychology
• Learning
• Language acquisition
• Neuropsychological assessment
• Applied linguistics
• Perceptual learning
• Artificial grammar learning
• Machine learning
• Educational technology

PerfSight: Performance Diagnosis for Software Dataplanes Wenfei Wu, Keqiang He, Aditya Akella University of Wisconsin-Madison ABSTRACT The advent of network functions virtualization (NFV) means that

Source URL: pages.cs.wisc.edu

• Computing
• Software
• System software
• Computer networking
• Middlebox
• Hyper-V
• Hardware virtualization
• Virtual machine
• I/O virtualization
• Open vSwitch
• Packet processing
• Virtualization

Quantifying Generalization in Linearly Weighted Neural Networks (Short title: Quantifying Generalization) Martin Anthony1 and Sean B. Holden2 Abstract

Source URL: www.maths.lse.ac.uk

• Machine learning
• Learning
• Artificial intelligence
• Computational learning theory
• Computational statistics
• Statistical classification
• Computational neuroscience
• VC dimension
• Artificial neural network
• Probably approximately correct learning
• Probability distribution
• Uniform convergence

Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

Source URL: aribadernatal.com

• Statistics
• Statistical models
• Psychometrics
• Machine learning
• Educational psychology
• Estimation theory
• Item response theory
• Rasch model
• Cross-validation
• Regression analysis
• SAT

The Threat of Algocracy: Reality, Resistance and Accommodation By John Danaher Forthcoming in Philosophy and Technology Abstract

Source URL: philpapers.org

• Cognitive science
• Academia
• Cybernetics
• Science and technology
• Formal sciences
• Algorithm
• Mathematical logic
• Theoretical computer science
• Big data
• Machine learning
• Legitimacy
• Artificial intelligence