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[PDF] Top 20 Relational Constraints for Metric Learning on Relational Data

Has 10000 "Relational Constraints for Metric Learning on Relational Data" found on our website. Below are the top 20 most common "Relational Constraints for Metric Learning on Relational Data".

Relational Constraints for Metric Learning on Relational Data

Relational Constraints for Metric Learning on Relational Data

... 2011). Relational databases are increasingly used in almost all ...observations. For in- stance, social service networks, Wikipedia network, molec- ular biology classification and so ...a relational ... Voir le document complet

8

Metric learning for structured data

Metric learning for structured data

... trics learning algorithm useful, and may even penalize the performances ...that for low dimensional datasets, the running time of the SML is low, and quickly increases with the dimension of the ...other ... Voir le document complet

169

ARDA : automatic relational data augmentation for machine learning

ARDA : automatic relational data augmentation for machine learning

... We design an end-to-end system that takes as input a data set, a ML model and access to unstructured data, and outputs an augmented data set such that training[r] ... Voir le document complet

62

Learning probabilistic relational models with (partially structured) graph databases

Learning probabilistic relational models with (partially structured) graph databases

... used for non relational databases as a category of data storage and processing which provide more scalability ...to relational databases, where join-intensive query performance deteriorates as ... Voir le document complet

9

Sparse online self-organizing maps for large relational data

Sparse online self-organizing maps for large relational data

... the learning of the map), or a random design (the updates are distributed according to some geometric ...allow for more flexibility in the expression and interpretability of the prototypes, the most ... Voir le document complet

11

On-line relational and multiple relational SOM

On-line relational and multiple relational SOM

... valid for comparing different dissimilarities. For the political books data set, the best map is obtained by using the on-line kernel SOM algorithm with the commute time ...on-line relational ... Voir le document complet

41

A hybrid approach for probabilistic relational models structure learning

A hybrid approach for probabilistic relational models structure learning

... a relational exten- sion of the PC algorithm to learn PRM structure from relational data ...the relational causal discovery (RCD) algorithm and proved that this approach is sound and complete ... Voir le document complet

12

Probabilistic relational models learning from graph databases

Probabilistic relational models learning from graph databases

... weight for each candidate feature by assuming that all other feature weights remain ...sampling for inference when setting the ...the data, and is highly prone to local ...(Bottom-up Learning ... Voir le document complet

154

On-demand Relational Concept Analysis

On-demand Relational Concept Analysis

... algorithms for computing a concept from connected lattices, along with its neighbouring ...on Data Modelling tools, let us consider a user who wants to find a tool for Linux (OS:Linux) dedicated to ... Voir le document complet

19

Qualitative probabilistic relational models

Qualitative probabilistic relational models

... network for a real-world application is constructed automatically from data, using tailored machine-learning techniques [2, 7, 11, 16], or manually, with the help of experts ...Automatically ... Voir le document complet

15

An exact approach to learning probabilistic relational model

An exact approach to learning probabilistic relational model

... structure learning, Probabilistic Relational Models, A* ...suitable for building models from data, that correspond most closely to reality (Cooper and Herskovits, ...structure learning ... Voir le document complet

13

Privacy leakage in multi-relational learning via unwanted classification models

Privacy leakage in multi-relational learning via unwanted classification models

... a relational classifier using traditional single-table learning algorithms (such as de- cision trees [26] or support vector machines (SVMs) ...“flat” data presentations. In order to employ these ... Voir le document complet

16

Identifying and Preventing Data Leakage in Multi-relational Classification

Identifying and Preventing Data Leakage in Multi-relational Classification

... where data are mined across multiple relations, is increasingly ...to data leaks when building a ...a data mining exercise. For instance, consider a financial database classification task to ... Voir le document complet

9

Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology

Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology

... work to deal with quantitative information from experimental data in systems biology. The study of systems biology through ILP aims at improving the understanding of the physiological state of the cell and the ... Voir le document complet

9

Privacy Disclosure and Preservation in Learning with Multi-Relational Databases

Privacy Disclosure and Preservation in Learning with Multi-Relational Databases

... potential for privacy leak- age in such a database, if the full database schema is ...statistical data (such as unemployment rates and the number of households in a municipality), or through, for ... Voir le document complet

15

Translation of Relational and Non-Relational Databases into RDF with xR2RML

Translation of Relational and Non-Relational Databases into RDF with xR2RML

... multiple data sources, thus allowing for cross-references between resources de- fined in various data ...the constraints that arise when deal- ing with different types of ...reference ... Voir le document complet

13

Extracting UML/OCL Integrity Constraints and Derived Types from Relational Databases

Extracting UML/OCL Integrity Constraints and Derived Types from Relational Databases

... these constraints evolve together with the own orga- nization as it adapts to the changing needs of the ...structure for their data dictionary which makes the process different for each ... Voir le document complet

11

Probabilistic Relational Model Benchmark Generation

Probabilistic Relational Model Benchmark Generation

... tional data from a randomly generated relational schema and a random set of probabilistic ...machine learning and database man- agement, our process can be useful for both ...imperative ... Voir le document complet

30

Probabilistic relational models: learning and evaluation

Probabilistic relational models: learning and evaluation

... developed for data in the traditional matrix ...technologies, data management practices have taken further aspects. The data can present a very large number of dimensions, with several ... Voir le document complet

178

Relational database schema design for uncertain data

Relational database schema design for uncertain data

... which constraints on probabilistic databases have been associated with the data or worlds to which they ...of data value redundancy and the normal forms that target the elimination/minimization of ... Voir le document complet

25

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