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A Theoretical Framework from Back-Propagation

we know it, although the idea of back-propagating derivatives is much older, especially for continuous time systems [Athans and Falb, 1966; Noton, 1965].

Learning a Similarity Metric Discriminatively, with ...

Learning a Similarity Metric Discriminatively, with Application to Face Verification Sumit Chopra Raia Hadsell Yann LeCun Courant Institute of Mathematical Sciences New York University New York, NY, USA sumit, raia, yann @cs.nyu.edu Abstract We present a method for training a similarity metric from data. The methodcanbe usedfor recognitionor ...

  Applications, Faces, Similarity

Dimensionality Reduction by Learning an Invariant Mapping

A contrastive loss function is employed to learn the param-eters W of a parameterizedfunction GW, in such a way that neighborsare pulled togetherand non-neighborsare pushed apart. Priorknowledgecan beused to identifythe neighbors for each training data point. The method uses an energy based model that uses the

  Reduction, Learning, Contrastive, Dimensionality, Dimensionality reduction by learning an

ANSYS CFX Tutorials - CFD Lectures

provide tips on advanced modeling. Earlier tutorials introduce general principles used in ANSYS CFX, including setting up the physical models, running ANSYS CFX-Solver and visualizing the results. ... Files required to complete each tutorial is listed in the introduction to the tutorial, and located in <CFXROOT>/examples, ...

  Introduction, Modeling, Tutorials

Introduction to Linux - Boston University

Introduction to Linux Augustine Abaris Research Computing Services Information Services & Technology . ... Molecular modeling Geographic Information Systems ... Tutorial credentials blocked for print. This box disappears during presentation.

  Introduction, University, Modeling, Boston university, Boston, Tutorials

A Tutorial on Integer Programming - Clemson University

1 Introduction Consider the manufacture of television sets. A linear programming model might give a production plan of 205.7 sets per week. In such a model, most people would have no trouble stating that production should be 205 sets per week (or even \roughly 200 sets per week"). On the other hand, suppose we

  Introduction, Tutorials, A tutorial

Lecture 1 Introduction to ANSYS Workbench

Training and tutorial material are available for both a broad range of ANSYS products and user’s experience. Search the hundreds of courses available and improve your knowledge

  Introduction, Tutorials

Introduction to PID Control - Sharif

Introduction to PID Control Introduction This introduction will show you the characteristics of the each of proportional (P), the integral (I), and the derivative (D) controls, and how to use them to obtain a desired response. In this tutorial, we will consider the following unity feedback system: Plant: A system to be controlled

  Introduction, Control, Tutorials, Introduction to pid control, Introduction to pid control introduction

1 An Introduction to Conditional Random Fields for …

4 An Introduction to Conditional Random Fields for Relational Learning x y x y Figure 1.1 The naive Bayes classifier, as a directed model (left), and as a factor graph (right). 1.2.2 Applications of graphical models In this section we discuss a few applications of …

  Introduction, Random, Conditional, Conditional random

i Data-Intensive Text Processing with MapReduce

Introduction MapReduce [45] is a programming model for expressing distributed computations on massive amounts of data and an execution framework for large-scale data processing on clusters of commodity servers. It was originally developed by Google and built on well-known principles in parallel and distributed processing dating back several ...

  Introduction

Introduction to COMSOL Multiphysics

Introduction Read this book if you are new to COMSOL Multiphysics®. It provides an overview of the COMSOL ® environment with examples that show you how to use the COMSOL Desktop ® user interface and the Model Builder. It also provides a quick introduction to creating applications using the Application Builder.

  Introduction