'Minsky' presentation slideshows

Artificial Neural Networks

1.42k views • 112 slides

Computacion inteligente

Computacion inteligente. The perceptron. Agenda. History Perceptron structure Perceptron as a two-class classifier The Perceptron as a Logic Operator Perceptron Learning Perceptron Convergence Theorem Examples Perceptron Limitation. History. History.

1.15k views • 80 slides

A Naturalistic Exploration of the Forms and Functions of Analogizing Robert R. Hoffman Thomas K. Eskridge Institute for

A Naturalistic Exploration of the Forms and Functions of Analogizing Robert R. Hoffman Thomas K. Eskridge Institute for Human and Machine Cognition Cameron Shelly Dalhousie University. The 9th bi-annual International Conference Naturalistic Decision Making London 23-26 June, 2009.

874 views • 60 slides

Shadowy Banks and the Interbank Amplifier During the Great Depression

Shadowy Banks and the Interbank Amplifier During the Great Depression. Kris James Mitchener, University of Warwick and NBER Gary Richardson, Federal Reserve Bank of Richmond. How do banking crises influence the real economy?. Look back to the Great Depression

636 views • 55 slides

Alessandro Vercelli Department of Economic Policy, Finance and Development (DEPFID)

Lecture 4 A Perspective on Minsky Moments: a R evisitation of the Core of The Financial Instability Hypothesis. Alessandro Vercelli Department of Economic Policy, Finance and Development (DEPFID) University of Siena. Presentation based on:.

627 views • 54 slides

Affective Computing

910 views • 44 slides

CS 416 Artificial Intelligence

CS 416 Artificial Intelligence. Lecture 24 Neural Networks Chapter 20. Neural Networks. Read Section 20.5 Small program and homework assignment. Model of Neurons. Multiple inputs/dendrites (~10,000!!!) Cell body/soma performs computation Single output/axon

632 views • 38 slides

Financialisation issues in a stock-flow consistent approach: Minsky and Godley

Financialisation issues in a stock-flow consistent approach: Minsky and Godley. Marc Lavoie. Problem statement.

425 views • 33 slides

For Friday

For Friday. No reading Take home exam due Exam 2. For Monday. Read chapter 22, sections 1-3 FOIL exercise due. Model Neuron (Linear Threshold Unit). Neuron modelled by a unit ( j ) connected by weights, w ji , to other units ( i ): Net input to a unit is defined as:

449 views • 29 slides

Banking and the Endogenous Money Supply as viewed from a Post Keynesian perspective

461 views • 27 slides

The Time Dimension for Scene Analysis

The Time Dimension for Scene Analysis. DeLiang Wang Perception & Neurodynamics Lab The Ohio State University, USA. Presentation outline. Introduction Scene analysis and temporal correlation theory Oscillatory Correlation LEGION network Oscillatory Correlation Approach to Scene Analysis

454 views • 26 slides

Computer Vision (CSE P 576)

Computer Vision (CSE P 576). Instructor: Larry Zitnick ( larryz@microsoft.com ) TA: Dun-Yu Hsiao ( dyhsiao@u.washington.edu ) Webpage: http :// www.cs.washington.edu/education/courses/csep576/11sp/. Today. Computer vision overview Course overview Image filtering Image sampling

378 views • 20 slides

Brad Jung Robert Samantha Varian

277 views • 19 slides

Networks and N-dimensions

Networks and N-dimensions. When to start? As we have seen, there is a continuous pattern of interest in network-style analysis, starting at least as early as McCulloch and Pitts.

380 views • 17 slides

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Dealing with the crisis

395 views • 11 slides

Introduction To Artificial Intelligence

Introduction To Artificial Intelligence. CSC 415-515. What Is (Artificial) Intelligence?. What is intelligence? The ability to learn or understand from experience The ability to acquire and retain knowledge The ability to respond quickly and successfully to a new situation

924 views • 9 slides

Access Control For Mobile Agents

Access Control For Mobile Agents . Sudipta Rakshit University of Central Florida, Spring 2002 . Concepts. Mobile Agent (MA): - Autonomous, executable program that can migrate on its own. Access Control: - Authentication of a request to use a resource and Authorization of the request.

189 views • 8 slides

Dr. Frank Rosenblatt, 1928-1971

Dr. Frank Rosenblatt, 1928-1971. PhD Experimental Psychology, Cornell, 1956 Developed neural networks called perceptrons A probabilistic model for information storage and organization in the brain Key properties Association or learning Generalization to new patterns Distributed memory

357 views • 0 slides