'Pattern extraction' diaporamas de présentation

Pattern extraction - PowerPoint PPT Presentation

Amine Hallili , PhD student Catherine Faron Zucker & Fabien Gandon , Advisors

Amine Hallili , PhD student Catherine Faron Zucker & Fabien Gandon , Advisors

Toward Ontology Based Chatbot Endowed with Natural Language Processing and Generation in Commercial Domain. Amine Hallili , PhD student Catherine Faron Zucker & Fabien Gandon , Advisors Elena Cabrio , Supervisor. Headlines. Introduction Motivations Research questions Chatbot

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483 views • 34 slides
Do humans beat computers at pattern recognition? Andra Miloiu Costina

Do humans beat computers at pattern recognition? Andra Miloiu Costina

Do humans beat computers at pattern recognition? Andra Miloiu Costina. Spam Analyst. What do you think?. Do humans beat computers at pattern recognition? NO YES. What is the correct answer?. ? NO!. ? NO!. ? NO!.

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346 views • 27 slides
A pattern fusion model for multi-step-ahead CPU load prediction

A pattern fusion model for multi-step-ahead CPU load prediction

A pattern fusion model for multi-step-ahead CPU load prediction. Systems and Software Dingyu Yanga , Jian Caoa ,?, Jiwen Fua , Jie Wangb , Jianmei Guoc ???. Introduction.

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401 views • 24 slides
Profit Mining: From Patterns to Action

Profit Mining: From Patterns to Action

Profit Mining: From Patterns to Action. Ke Wang, Senqiang Zhou, Jiawei Han Simon Fraser University. Why Profit Mining?. A major obstacle in data mining application is the gap between: statistic-based pattern extraction and value-based decision making Profit mining :

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409 views • 22 slides
Multipoint Statistics to Generate Geologically Realistic Networks

Multipoint Statistics to Generate Geologically Realistic Networks

Multipoint Statistics to Generate Geologically Realistic Networks. Hiroshi Okabe supervised by Prof. Martin J Blunt Petroleum Engineering and Rock Mechanics Research Group Department of Earth Science and Engineering Imperial College London. Contents. Introduction

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588 views • 16 slides
Sampling Approaches to Pattern Extraction

Sampling Approaches to Pattern Extraction

Sampling Approaches to Pattern Extraction. (Lecture for CS397-CXZ Algorithms in Bioinformatics) April 16, 2004 ChengXiang Zhai Department of Computer Science University of Illinois, Urbana-Champaign. Probabilistic Motif M = prob model p(S|M)

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162 views • 10 slides
Relational Similarity Measurement Between Word-pairs using Multi -Task Lasso

Relational Similarity Measurement Between Word-pairs using Multi -Task Lasso

Department of Computer Science and Technology East China Normal University Dongbin Yan. Relational Similarity Measurement Between Word-pairs using Multi -Task Lasso. Problem we need to solve. SAT analogy question Sample. Our Method. Snippet extraction Pattern extraction

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194 views • 9 slides
This is also true when clustering both Samples and terms

This is also true when clustering both Samples and terms

This is also true when clustering both Samples and terms. These three clusters with similar patterns shall be clustered together, but are separated in the whole clustering heatmap That is Why we need pattern extraction to get all patterned terms together easily and completely.

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119 views • 2 slides

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