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[PDF] Top 20 Developing a framework for classification and/or recommendation

Has 10000 "Developing a framework for classification and/or recommendation" found on our website. Below are the top 20 most common "Developing a framework for classification and/or recommendation".

Developing a framework for classification and/or recommendation

Developing a framework for classification and/or recommendation

... Developing a framework for classification and/or recommendation Ayeley Tchangani 1 and Franc¸ois P´er`es 2 Abstract— The objective of this communication is ... Voir le document complet

7

A hybrid model for context-aware proactive recommendation

A hybrid model for context-aware proactive recommendation

... preferences and needs of users in order to help them access useful and interesting resources within a large data ...formulate a query, this latter is implicit and corresponds to the ... Voir le document complet

141

Developing a framework for dependable demand forecasts in the consumer packaged goods industry

Developing a framework for dependable demand forecasts in the consumer packaged goods industry

... Upon completion of finance segment, marketing representatives supporting the each of the product segments commercialized by "Company X" present their promotional plans and p[r] ... Voir le document complet

106

Developing a Conceptual Framework for Software Evolution Methods via Architectural Metrics

Developing a Conceptual Framework for Software Evolution Methods via Architectural Metrics

... need for software systems to evolve and change over time in order to account for new requirements, software evolution at higher levels of modeling is considered as one of the main foundation within ... Voir le document complet

12

Improving the Environmental Impact Classification for Alien Taxa (EICAT): a summary of revisions to the framework and guidelines

Improving the Environmental Impact Classification for Alien Taxa (EICAT): a summary of revisions to the framework and guidelines

... Andjelković A, Arbačiauskas K, Auger-Rozenberg M-A, Bae M-J, Bariche M, Boets P, Boieiro M, Borges PA, CanningClode J, Cardigos F, Chartosia N, Cottier-Cook EJ, Crocetta F, D’hondt B, Foggi B, Follak S, ... Voir le document complet

21

A GA-Based Multi-View, Multi-Learner Active Learning Framework for Hyperspectral Image Classification.

A GA-Based Multi-View, Multi-Learner Active Learning Framework for Hyperspectral Image Classification.

... introduces a novel multi-view multi-learner (MVML) active learning method, in which the different views are generated by a genetic algorithm ...sufficient, and independent views by considering both ... Voir le document complet

21

A framework for automatic and parameterizable memoization

A framework for automatic and parameterizable memoization

... S a v e , // f i l e m a n e to s a v e the table , or ’ n o n e ’ 10 Replace , // yes / no ...: a l w a y s r e p l a c e in c a s e of c o l l i s i o n s 11 ... Voir le document complet

17

CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and Profitability

CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and Profitability

... Internet and the emergence of e-commerce has led the development of RS ...information, and recommend products to customers according to their ...products and services can enhance the relationship ... Voir le document complet

9

A framework for Symbolic and Numeric Computations

A framework for Symbolic and Numeric Computations

... 101 - 54602 Villers lès Nancy Cedex France Unité de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex France Unité de recherche INRIA Rhône-Alpes : 65[r] ... Voir le document complet

100

Developing a Reputation for Reticence

Developing a Reputation for Reticence

... objectivity. For instance, in a cheap-talk setting, Gentzkow and Shapiro (2006) demonstrate that otherwise neutral media companies will bias news reports towards the prior beliefs of their customers ... Voir le document complet

43

Advancing a sociotechnical systems approach to workplace safety – developing the conceptual framework

Advancing a sociotechnical systems approach to workplace safety – developing the conceptual framework

... interconnectivity and that rather it is our own science of HFE that has expanded its unit of analysis and, thus, now encompasses larger and more ‘complex’ work ...develop a purpose-directed ... Voir le document complet

19

Bipolar fuzzy nominal classification (BFNC) framework

Bipolar fuzzy nominal classification (BFNC) framework

... using a specific feature) and rejectability (measuring the extent to which one should avoid including the former activity into the later class) membership functions with possi- ble use of experts ... Voir le document complet

21

Recommendation And Visualization Techniques For large Scale Data

Recommendation And Visualization Techniques For large Scale Data

... Pourtant, des systèmes de recommandation sont confrontés à une quantité croissante de données à traiter, parce que le nombre d’utilisateurs en ligne augmente, ce qui nécessite généralement des coûteuses opérations de ... Voir le document complet

147

An Evolutionary Framework Using Particle Swarm Optimization for Classification Method PROAFTN

An Evolutionary Framework Using Particle Swarm Optimization for Classification Method PROAFTN

... introduce a methodology based on the particle swarm optimization (PSO) algorithm to train the Multi-Criteria Decision Aid (MCDA) method ...is a rela- tively new population-based metaheuristic that can be ... Voir le document complet

31

A Deep Representation for Invariance And Music Classification

A Deep Representation for Invariance And Music Classification

... modules for building invariance to transformations and multiple layers for compositionality and ...modules for extracting invariant and discriminative audio ...on a theory ... Voir le document complet

6

Profile-based Datas and Recommendation for RDF Data Linking

Profile-based Datas and Recommendation for RDF Data Linking

... identification for interlinking. Our recommendation approach relies on the notion of a dataset profile, with its large definition, providing comparable representations of the datasets by the help of ... Voir le document complet

131

Probabilistic Relational Models for Customer Preference Modelling and Recommendation

Probabilistic Relational Models for Customer Preference Modelling and Recommendation

... Need for systems to filter useful and interesting information from the overwhelming collection of information has led to different information retrieval (IR) ...items or products of their ... Voir le document complet

29

A classification and retrieval system for economic data

A classification and retrieval system for economic data

... is used to indicate i\7hether the file contains time- series or cross- section data and to describe the seasonal adjustment procedure (if any) used on.. time- series data.[r] ... Voir le document complet

43

A deep representation for invariance and music classification

A deep representation for invariance and music classification

... modules for building invariance to transformations and multiple layers for compositionality and ...modules for extracting invariant and discriminative audio ...on a theory ... Voir le document complet

7

Developing a Robust Self Evaluation Framework for Active Learning: The First Stage of an Erasmus+ Project (QAEMarketPlace4HEI) .

Developing a Robust Self Evaluation Framework for Active Learning: The First Stage of an Erasmus+ Project (QAEMarketPlace4HEI) .

... This paper explores the initial phase of an EU funded ERASMUS+ project to explore the enhancement element of the quality process. The initial focus of the work is on the partners’ mutual interest in active learning, in ... Voir le document complet

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