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Context-Aware Negotiation in E-commerce

Context-Aware Negotiation in E-commerce

Context-Aware Negotiation in E-commerce. Reyhan AYDO ĞAN reyhan.aydogan@boun.edu.tr. OUTLINE. Introduction Matchmaking Negotiation Proposed Negotiation Scheme Architecture Learning Discussion. Introduction. Agents for flexible e-commerce applications Two agent roles:

By Jimmy
(232 views)

SIM-DL Towards a Semantic Similarity Measurement Theory for the Description Logic ALCNR in Geographic Information Retrie

SIM-DL Towards a Semantic Similarity Measurement Theory for the Description Logic ALCNR in Geographic Information Retrie

SIM-DL Towards a Semantic Similarity Measurement Theory for the Description Logic ALCNR in Geographic Information Retrieval Krzysztof Janowicz Institute for Geoinformatics; University of Münster. Outline. Motivation: Yet Another Similarity Theory? Similarity & Subsumption based IR

By redell
(146 views)

Iterative Readability Computation for Domain-Specific Resources

Iterative Readability Computation for Domain-Specific Resources

Iterative Readability Computation for Domain-Specific Resources. By Jin Zhao and Min-Yen Kan 11/06/2010. Domain-Specific Resources. Domain-specific resources cater for a wide range of audience. Wikipedia page on modular arithmetic. Interactivate page on clocks and modular arithmetic.

By hallie
(72 views)

CS 4300 Computer Graphics

CS 4300 Computer Graphics

CS 4300 Computer Graphics. Prof. Harriet Fell Fall 2012 Lecture 7 – September 19 , 2012. Alpha Blending. how to rasterize transparent objects? if object is totally transparent, then just do nothing i.e. let the “background” show through unmodified

By alaric
(112 views)

Support Vector Machines

Support Vector Machines

Support Vector Machines. Stefano Cavuoti 11/27/2008. SVM.

By dillan
(151 views)

Quarterback Ratings SAS#8 Notes

Quarterback Ratings SAS#8 Notes

Quarterback Ratings SAS#8 Notes. What is Quarterback Rating (QR)?. Vocabulary. NFL: %COMP: %TD: %INT: YD: AB: Hits: Batting Average:. Formula. TONY ROMO first two games 2008 season (Question 1). Percent of completions per attempt (%COMP) =

By twyla
(247 views)

Statistical Inference

Statistical Inference

Statistical Inference. Guillaume Flandin Wellcome Trust Centre for Neuroimaging University College London. SPM Course Zurich, February 2012. Image time-series. Statistical Parametric Map. Design matrix. Spatial filter. Realignment. Smoothing. General Linear Model.

By amity
(139 views)

Neurones and robots

Neurones and robots

Neurones and robots. Scott Turner University of Northampton. Single neuron. Aim On the line go forward (output=1) Off the line go left (output =0). int w[] ={-1,1}; int o=1; int s1,res1; for(;;){ if ( robbie. checkLight1()==true) s1=1; else s1=0; res1=w[1]*s1+w[0];

By xuan
(108 views)

Fourier Analysis Without Tears

Fourier Analysis Without Tears

Fourier Analysis Without Tears. Somewhere in Cinque Terre, May 2005. 15-463: Computational Photography Alexei Efros, CMU, Fall 2006. x 1. x 1. 1 st principal component. 2 nd principal component. x 0. x 0. Capturing what’s important. Fast vs. slow changes. A nice set of basis.

By taylor
(99 views)

Development, Growth, and Structural Change

Development, Growth, and Structural Change

Development, Growth, and Structural Change. Lecture 1: How Economists Think About Growth and Development National Graduate Institute For Policy Studies IDTP Fall 2013 John Page. What is Development?. An economist’s answer: Rising per capita income What makes this appropriate?

By merv
(130 views)

Games & Adversarial Search

Games & Adversarial Search

Games & Adversarial Search. Chapter 5. Games vs. search problems. "Unpredictable" opponent  specifying a move for every possible opponent’s reply. Time limits  unlikely to find goal, one must approximate. Game tree (2-player, deterministic, turns).

By oliver
(122 views)

ELECTRON TRANSFER REACTIONS Some Basic Principles

ELECTRON TRANSFER REACTIONS Some Basic Principles

ELECTRON TRANSFER REACTIONS Some Basic Principles Processes involving the transfer of electrons occur widely in the sciences. They range from simple exchange reactions in chemistry to processes that drive energy storage and respiration in biological systems

By yuval
(200 views)

Statistical Learning Methods

Statistical Learning Methods

Statistical Learning Methods. Russell and Norvig: Chapter 20 (20.1,20.2,20.4,20.5) CMSC 421 – Fall 2006. Statistical Approaches. Statistical Learning (20.1) Naïve Bayes (20.2) Instance-based Learning (20.4) Neural Networks (20.5). Statistical Learning (20.1). Example: Candy Bags.

By nibal
(631 views)

Basics of Decision Trees

Basics of Decision Trees

Basics of Decision Trees . A flow-chart-like hierarchical tree structure Often restricted to a binary structure Root : represents the entire dataset A node without children is called a leaf node . Otherwise is called an internal node . Internal nodes: denote a test on an attribute

By ossie
(98 views)

Current Libby Forecast Model

Current Libby Forecast Model

Update of Libby Statistical Forecast Procedure to Improve Early Season Forecasts - Does SOI Help? Randy Wortman. Current Libby Forecast Model. Standard Linear Regression Equations Split Basin (2 Basins => 2 Regression Equations) Libby Forecast = Ft. Steele Regr + Libby Local Regr

By abe
(167 views)

K. H. Ko School of Mechatronics Gwangju Institute of Science and Technology

K. H. Ko School of Mechatronics Gwangju Institute of Science and Technology

Photo-realistic Rendering and Global Illumination in Computer Graphics Spring 2012 Monte Carlo Method. K. H. Ko School of Mechatronics Gwangju Institute of Science and Technology. Brief History. Comte de Buffon in 1677

By qamar
(137 views)

Collaborative Filtering

Collaborative Filtering

Collaborative Filtering. Sue Yeon Syn September 21, 2005. Additional papers.

By thuong
(116 views)

A 33 Year Time History of the J2 Changes from SLR

A 33 Year Time History of the J2 Changes from SLR

A 33 Year Time History of the J2 Changes from SLR. Minkang Cheng and Byron D. Tapley Center for Space Research University of Texas at Austin SLR data and models Observed variations in J2 18.6 tidal variation ENSO and PDO effects Comparison of J2 Variations from SLR and GRACE data

By parson
(106 views)

Chapter 8 PD-Method and Local Ratio

Chapter 8 PD-Method and Local Ratio

Chapter 8 PD-Method and Local Ratio. (5) Equivalence. This ppt is editored from a ppt of Reuven Bar-Yehuda. Reuven Bar-Yehuda. Introduction. The local ratio technique is an approximation paradigm for NP-hard optimization to obtain approximate solutions

By amber
(170 views)

NUMERICAL ANALYSIS OF BIOLOGICAL AND ENVIRONMENTAL DATA

NUMERICAL ANALYSIS OF BIOLOGICAL AND ENVIRONMENTAL DATA

NUMERICAL ANALYSIS OF BIOLOGICAL AND ENVIRONMENTAL DATA. Lecture 7. Direct Gradient Analysis. Interpretation of ordination axes with external data Canonical or constrained ordination techniques (= direct gradient analysis). DIRECT GRADIENT ANALYSIS. Canonical correspondence analysis (CCA)

By serge
(157 views)

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