Classification-based Contextual Preferences

Mar 21, 2019

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Classification-based Contextual Preferences. Shachar Mirkin. July 2011 TextInfer, Edinburgh. Joint work with: Ido Dagan, Lili Kotlerman, Idan Szpektor. Context matching in inference. Motivation Task definition. Motivation: Inference & ambiguity.

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Classification-based Contextual Preferences

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Contextual Advertising

Contextual Advertising . Ankit Mehta. Brief history of online advertising. May 1978: First Marketing Spam form DEC Marketing representative. 1994: First banner ad by AT&T on Hotwired.com . History of online advertising. 1996: First interactive ad by HP where users can play ping pong .

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Preferences

Preferences. Toby Walsh NICTA and UNSW www.cse.unsw.edu.au/~tw/teaching.html. Outline. May 5,15:00-17:00 Introduction, soft constraints May 6, 10:00-12:00 CP nets May 7, 15:00-18:00 Strategic games, CP-nets, and soft constraints Voting theory May 8, 15:00-18:00

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Preferences

Preferences. Preference Relation . The consumer strictly prefers bundle X to bundle Y: The consumer is indifferent between X and Y:. Weak Preference. If or Then:. How are the relations related?. Q: What do these two relations imply?. How are the relations related?.

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Part 4: Contextual Classification in Remote Sensing

Part 4: Contextual Classification in Remote Sensing. * There are different ways to incorporate contextual information in the classification process. All experiments show performance improvement of about 1% to 3% with the use of contexts.

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Google-based Traffic Classification

Aleksandar Kuzmanovic Northwestern University IEEE Computer Communications Workshop (CCW ‘08) October 23, 2008. Google-based Traffic Classification. http://networks.cs.northwestern.edu. Traffic Classification. Problem – traffic classification Current approaches

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Preferences

Preferences. Rationality in Economics. Behavioral Postulate : A decisionmaker always chooses its most preferred alternative from its set of available alternatives. So to model choice we must model decisionmakers’ preferences. Indifference Curves.

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Contextual Classification

Contextual Classification. by Melanie Ganz Lecture 6, Medical Image Analysis 2008. Predicted labels. Overlap. Labels. Data. Motivation. Motivation. The KNN pixel classifier we use in the CVD project does not use contextual information.

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Preferences

Preferences. Preference Relation . The consumer strictly prefers bundle X to bundle Y: The consumer is indifferent between X and Y:. Weak Preference. If or Then: . How are the relations related?. Q: What do these two relations imply?. How are the relations related?.

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Contextual Based Interviewing

Contextual Based Interviewing. Norman Amundson University of British Columbia amundson@interchange.ubc.ca. external influences. determining contexts. decision trigger. Interactive Decision Making Model. HELPER ROLE: REFRAMING. framing. ACTION. Decision Triggers.

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object based classification

object based classification. Contact: mirza.waqar@seecs.edu.pk. Mirza Muhammad Waqar. Source: http://usda-ars.nmsu.edu/PDF%20files/laliberteAerialPhotos.pdf. Why?. Per-pixel classification Only based on pixel value or spectral value Ignore spatial autocorrelation

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Contextual Classification with Functional Max-Margin Markov Networks

Contextual Classification with Functional Max-Margin Markov Networks. Problem. Geometry Estimation ( Hoiem et al. ). 3-D Point Cloud Classification. Wall. Sky. Vegetation. Vertical. Support. Ground. Tree trunk. Our classifications. Room For Improvement.

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Contextual Inquiry

Contextual Inquiry. Material Source: Professor John Landay, UCB. Searching in PowerPoint. Cannot preview search results Results pane holds only 2 results No animation to convey search is in motion Cannot preview search results to confirm success.

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ABC: Atlas-Based Classification

ABC: Atlas-Based Classification. Marcel Prastawa and Guido Gerig Scientific Computing and Imaging Institute University of Utah. Atlas Based Classification. ABC. Atlas template with spatial priors for tissue categories. ABC: Fully Automatic Workflow.

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Contextual Risk-based Access Control Mechanism

Contextual Risk-based Access Control Mechanism. NGUYEN NGOC DIEP Master Fellow – uSec Group. AGENDA. 1 – Introduction 2 – Access Control Model 3 – Risk Assessment 4 – Related Work 5 – Conclusion. Introduction- Background.

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Tag-based Contextual Collaborative Filtering

Tag-based Contextual Collaborative Filtering. Reyn Nakamoto, Shinsuke Nakajima, Jun Miyazaki, Shunsuke Uemura Nara Institute of Science and Technology IAENG International Journal of Computer Science 2008 Presented by Jae-won Lee. Introduction.

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Instance-based Classification

Instance-based Classification. Examine the training samples each time a new query instance is given. The relationship between the new query instance and training examples will be checked to assign a class label to the query instance. KNN: k-Nearest Neighbor.

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Preferences

Preferences. The Way Forward. Curriculum Policy. Barlby High School will provide: an environment and curriculum which allows young people of all abilities to develop the skills and attitudes which will facilitate lifelong learning, work place success and sustained personal development.

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Mobile Based Contextual Multimedia Conferencing Solution

Mobile Based Contextual Multimedia Conferencing Solutions for Healthcare By Agnity healthcare, Know More Here: http://transformhealth-it.org/

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Contextual Insights

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Instance-based Classification

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Rule-Based Classification

Rule-Based Classification. Rule-based classifiers, where the learned model is represented as a set of IF-THEN rules. Using IF-THEN Rules for Classification An IF-THEN rule is an expression of the form IF condition THEN conclusion.

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Part 4: Contextual Classification in Remote Sensing

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