'Learning algorithms' diaporamas de présentation

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Easy BI

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Outline

Empirical studies on the online learning algorithms based on combining weight noise injection and weight decay Advisor: Dr. John Sum Student: Allen Liang. Outline. Introduction Learning Algorithms Experiments Conclusion. 2. Introduction. Background.

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BCB 444/544

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Types of Data How to Calculate Distance?

Types of Data How to Calculate Distance?. Dr. Ryan Benton January 29, 2009. Book Information. Data Mining, Concepts and Techniques Chapter 7, Section 2, Types of Data in Cluster Analysis Advances in Instance-Based Learning Algorithms, Dissertation by D. Randall Wilson, August 1997.

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Preference elicitation

Preference elicitation. Communicational Burden by Nisan, Segal, Lahaie and Parkes. October 27th, 2004. Jella Pfeiffer. Outline. Motivation Communication Lindahl prices Communication complexity Preference Classes Applying Learning Algorithms to Preference elicitation Applications

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Principal Component Analysis and Independent Component Analysis in Neural Networks

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Neural Networks

Neural Networks. CIS 479/579 Bruce R. Maxim UM-Dearborn. Neural Networks. Can be thought of as arithmetic constraint networks Tend to be designed in layers Input layer Hidden layers (1 or more) Output layer. Neural Network Types. Feed-forward

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Neural Networks

Neural Networks. CIS 488/588 Bruce R. Maxim UM-Dearborn. Neural Networks. Can be thought of as arithmetic constraint networks Tend to be designed in layers Input layer Hidden layers (1 or more) Output layer. Neural Network Types. Feed-forward

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Exact Learning of Boolean Functions with Queries

Exact Learning of Boolean Functions with Queries. Lisa Hellerstein Polytechnic University Brooklyn, NY. AMS Short Course on Statistical Learning Theory, 2007. I. Introduction. Learning Boolean formula f.

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Decision Trees with Minimal Test Costs (ICML 2004, Banff, Canada)

Decision Trees with Minimal Test Costs (ICML 2004, Banff, Canada) Charles X. Ling, Univ of Western Ontario, Canada Qiang Yang, HK UST, Hong Kong Etc. Goal When test examples contain missing values Decide what to do? Do a test to obtain a value

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Smart Offices and Intelligent Decision Rooms By Ramos, Marreiros , Santos, and Freitas

Smart Offices and Intelligent Decision Rooms By Ramos, Marreiros , Santos, and Freitas. Nancy Shah October 19, 2011. Introduction .

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Genetic Algorithms, Search Algorithms

Genetic Algorithms, Search Algorithms. Jae C. Oh. Overview . Search Algorithms Learning Algorithms GA Example. Brief History. Evolutionary Programming Fogel in 1960s Individuals are encoded to be finite state machines Intellgent Behavior Evolutionary Strategies

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Genetic Algorithms, Search Algorithms

Genetic Algorithms, Search Algorithms. Jae C. Oh. Overview . Search Algorithms Learning Algorithms GA Example. Brief History. Evolutionary Programming Fogel in 1960s Individuals are encoded to be finite state machines Intellgent Behavior Evolutionary Strategies

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Machine Learning PoS-Taggers

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Text Categorization Moshe Koppel Lecture 3:Authorship Attribution

Text Categorization Moshe Koppel Lecture 3:Authorship Attribution . Mostly my own stuff together with Jonathan Schler, Shlomo Argamon, Ido Dagan, Jamie Pennebaker, Jonathan Fine, Kfir Zigdon, Iris Zigdon, Navot Akiva, Dror Mughaz, Eran Messeri. The Authorship Attribution Problem.

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An Overview of Machine Learning

An Overview of Machine Learning. Speaker: Yi-Fan Chang Adviser: Prof. J. J. Ding Date : 2011/10/21. Outline & Content. What is machine learning ? Learning system model Training and testing Performance Algorithms Machine learning structure What are we seeking? Learning techniques

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Q( ? )-Learning Fuzzy Controller for the Homicidal Chauffeur Differential Game

Q( ? )-Learning Fuzzy Controller for the Homicidal Chauffeur Differential Game. Presented by: Prof. Howard M. Schwartz Badr M. Al Faiya Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada . 20th Mediterranean Conference on Control and Automation - MED 2012

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Active Learning: Sampling Method

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Learning Algorithms of Neural Networks and Applications

Learning Algorithms of Neural Networks and Applications. Jonathan Reagan Umass Dartmouth CSUMS Summer 11 August 3 rd 2011. Outline. What is a Neural Network? How does it work? Why do we care? Results Issues encountered Future work. Neural Network. Input Layers. Output Layers.

260 views • 13 slides