Results 31 to 40 of about 56,633 (135)

Graphical Model Sketch

, 2016
Structured high-cardinality data arises in many domains, and poses a major challenge for both modeling and inference. Graphical models are a popular approach to modeling structured data but they are unsuitable for high-cardinality variables.
Bui, Hung, Ghavamzadeh, Mohammad, Kveton, Branislav, Muthukrishnan, S., Sun, Siqi, Theocharous, Georgios   +5 more
core   +1 more source

Evaluating Resilience of Electricity Distribution Networks via A Modification of Generalized Benders Decomposition Method

, 2020
This paper presents a computational approach to evaluate the resilience of electricity Distribution Networks (DNs) to cyber-physical failures. In our model, we consider an attacker who targets multiple DN components to maximize the loss of the DN ...
Amin, Saurabh, Hiskens, Ian, Shelar, Devendra   +2 more
core   +1 more source

Transformation From Semantic Data Model to Rdf [PDF]

, 2004
There have been several efforts to use relational model and database to store and manipulate Resource Description Framework (RDF). They have one general disadvantage, i.e.
Siahaan, D. O. (Daniel)
core   +3 more sources

Forecasting the cost of processing multi-join queries via hashing for main-memory databases (Extended version)

, 2015
Database management systems (DBMSs) carefully optimize complex multi-join queries to avoid expensive disk I/O. As servers today feature tens or hundreds of gigabytes of RAM, a significant fraction of many analytic databases becomes memory-resident.
Ailamaki A., Boncz P. A., Boncz P. A., Chen M.-S., Chen M.-S., DeWitt D. J., Lang H., Li Y., Liu B., Lohman G. M., Lu H., Manegold S., Ono K., Schneider D. A., Shatdal A., Stillger M., Zhang N.   +16 more
core   +1 more source

Efficient AI-Driven Query Optimization in Large-Scale Databases: A Reinforcement Learning and Graph-Based Approach

Mathematics
As data-centric applications become increasingly complex, understanding effective query optimization in large-scale relational databases is crucial for managing this complexity.
Najla Sassi, Wassim Jaziri
doaj   +1 more source

Multi-Criteria Fuzzy Portfolio Optimization Considering Varying Levels of Investor Expectations [PDF]

تحقیقات مالی
ObjectiveThe objective of the present research is the optimization of investment portfolios, considering all significant criteria for investors in a fuzzy environment, and taking into account various levels of investor expectations for each criterion ...
Ali Namaki, Saeid Shirkavand, Amirsina Jirofti   +2 more
doaj   +1 more source

A Robust TCPHD Filter for Multi-Sensor Multitarget Tracking Based on a Gaussian–Student’s t-Mixture Model

Remote Sensing
To realize multitarget trajectory tracking under non-Gaussian heavy-tailed noise, we propose a Gaussian–Student t-mixture distribution-based trajectory cardinality probability hypothesis density filter (GSTM-TCPHD).
Shaoming Wei, Yingbin Lin, Jun Wang, Yajun Zeng, Fangrui Qu, Xuan Zhou, Zhuotong Lu   +6 more
doaj   +1 more source

Gaussian process domain experts for model adaptation in facial behavior analysis [PDF]

, 2016
We present a novel approach for supervised domain adaptation that is based upon the probabilistic framework of Gaussian processes (GPs). Specifically, we introduce domain-specific GPs as local experts for facial expression classification from face images.
Deisenroth, MP, Eleftheriadis, S, Pantic, M, Rudovic, O   +3 more
core   +6 more sources

Set Membership Adaptive Non Parametric Identification of Non-Linear Systems

IEEE Access
Adaptation is a desirable feature when dealing with the identification of complex systems. However, this property can be difficult to achieve when non-convex model structures such as neural networks are employed to parametrize the unknown system.
Juan Alejandro Castano, Fernando Quevedo, Fredy Ruiz   +2 more
doaj   +1 more source

Dimensional enrichment of statistical linked open data [PDF]

, 2016
On-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-prepared data. However, initiatives like Open Data and Open Government bring new and publicly available data on the web that are to be analyzed in the ...
Bach Pedersen, Torben, Etcheverry, Lorena, Romero Moral, Óscar, Thomsen, Christian, Vaisman, Alejandro, Varga, Jovan   +5 more
core   +2 more sources