'Probability estimates' diaporamas de présentation

David Stark Columbia University

Peripheral Vision in Financial Markets. David Stark Columbia University. Moscow 28 October 2012. My research collaborators: Daniel Beunza London School of Economics Supported by the National Science Foundation and a fellowship from The Netherlands Institute for Advanced Study.

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Reflexive Modeling and Systemic Risk

Devices for Dissonance :. Reflexive Modeling and Systemic Risk. Daniel Beunza & David Stark. Dissonance. Dissonance fosters discovery by prompting reflexivity. Dissonance. Dissonance fosters discovery by prompting reflexivity.

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Reflexive Modeling and Systemic Risk

Devices for Dissonance :. Reflexive Modeling and Systemic Risk. Daniel Beunza & David Stark. Dissonance. Dissonance fosters discovery by prompting reflexivity. Dissonance. Dissonance fosters discovery by prompting reflexivity.

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STATISTICS in PRACTICE

Probability is conditional. Theorems of increase of probabilities. Theorems of addition of probabilities. STATISTICS in PRACTICE. Carstab Corporation, a subsidiary of Morton International, produces specialty chemicals and offers a variety of chemicals

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Algorithms for Classification:

Algorithms for Classification:. Notes by Gregory Piatetsky. Classification. Task: Given a set of pre-classified examples, build a model or classifier to classify new cases. Supervised learning: classes are known for the examples used to build the classifier.

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Text Categorization (continued)

Text Categorization (continued). CSE 454. Course Overview. Info Extraction. Ecommerce. New Stuff ?. P2P. Web Services Semantic Web. Security. Advt. Datamining. Case Studies: Nutch, Google, Altavista. Information Retrieval Precision vs Recall Inverted Indicies.

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What this Paper Offers

Discovering Unrevealed Properties of Probability Estimation Trees: on Algorithm Selection and Performance Explanation Kun Zhang , Wei Fan, Bill Buckles Xiaojing Yuan, and Zujia Xu Dec. 21, 2006. What this Paper Offers. Preference of a probability estimation tree (PET)

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Learning and Making Decisions When Costs and Probabilities are Both Uknown

Learning and Making Decisions When Costs and Probabilities are Both Uknown. Authors:Bianca Zadrozny, Charles Elkan Advisor:Dr. Hsu Graduate:Yu-Wei Su. Outline . Motivation Objective Introduction

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