Paving the Way for NFV: Simplifying Middlebox Modifications using StateAlyzr Junaid Khalid, Aaron Gember-Jacobson, Roney Michael, Anubhavnidhi Abhashkumar, Aditya Akella University of Wisconsin-Madison Abstract

Source URL: opennf.cs.wisc.edu

• Computer network security
• Middlebox
• Data-flow analysis
• Scope
• Transmission Control Protocol
• Robust random early detection
• ALGOL 68
• Subroutine
• Parameter
• Algorithm

Application Case Study RSoft Application: Parameter Extraction of Laser Diodes from Datasheets Overview

Source URL: optics.synopsys.com

word2vec Parameter Learning Explained arXiv:1411.2738v3 [cs.CL] 30 Jan 2016 Xin Rong

Source URL: arxiv.org

TECHNICAL DATA SHEET Typical Properties Parameter Organic Potassium Salt

Source URL: www.nasindustrial.com

Title: Monitoring Cryospheric Albedo in a Changing World: Filling the knowledge void on a key climate parameter Authors: Thomas H. Painter, Jet Propulsion Laboratory, California Institute of Technology Anne Nolin, Oregon

Source URL: surveygizmoresponseuploads.s3.amazonaws.com

• Glaciology
• Hydrology
• Climate history
• Snow
• Water ice
• Albedo
• Cryosphere
• Snowpack
• Climate change
• Sea ice
• Snowmelt
• Black carbon

Execution Generated Test Cases: How to Make Systems Code Crash Itself Cristian Cadar and Dawson Engler? Computer Systems Laboratory Stanford University Stanford, CA 94305, U.S.A.

Source URL: www.doc.ic.ac.uk

• Constraint programming
• Abstract interpretation
• Symbolic execution
• Software testing
• Reference
• Constraint satisfaction problem
• Const
• Parameter
• Concolic testing
• Constraint logic programming

326 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

Source URL: decsai.ugr.es

• Statistics
• Statistical theory
• Bayesian statistics
• Conjugate prior
• Hyperprior
• Normal distribution
• Bayesian inference
• Hyperparameter
• Bayesian network
• Prior probability
• Hidden Markov model
• Maximum likelihood estimation

Theano Tutorial Theano is a software package which allows you to write symbolic code and compile it onto different architectures (in particular, CPU and GPU). It was developed by machine learning researchers at the Univ

Source URL: colinraffel.com

• Artificial neural networks
• Sigmoid function
• Artificial neuron
• Parameter
• Function
• Gradient descent
• Backpropagation
• Multilayer perceptron
• Activation function
• Theano
• Default argument
• Artificial intelligence

Automated Parameter Optimization of Classification Techniques for Defect Prediction Models Chakkrit Tantithamthavorn1 , Shane McIntosh2 , Ahmed E. Hassan3 , Kenichi Matsumoto1 1 Nara Institute of Science and

Source URL: sail.cs.queensu.ca

• Statistics
• Machine learning
• Statistical classification
• Artificial intelligence
• Ensemble learning
• Statistical inference
• Computational statistics
• Support vector machine
• Bootstrapping
• Boosting
• Naive Bayes classifier
• Gradient boosting

Strawman proposal to X3J20, for variable sized argument lists as an alternative to a dynamic array constructor syntax. Extending the Message Pattern Brian Wilkerson1 Digitalk Inc.

Source URL: www.instantiations.com

• Software engineering
• Computer programming
• Computing
• Concurrent programming languages
• Object-oriented programming
• C++
• Cross-platform software
• This
• Reserved word
• C++ classes
• Parameter
• Const