Results 21 to 30 of about 56,825 (115)

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

Solving stable matching problems using answer set programming [PDF]

, 2015
Since the introduction of the stable marriage problem (SMP) by Gale and Shapley (1962), several variants and extensions have been investigated. While this variety is useful to widen the application potential, each variant requires a new algorithm for ...
De Clercq, Sofie, De Cock, Martine, Nowé, Ann, Schockaert, Steven   +3 more
core   +2 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

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

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

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

Set-related restrictions for semantic groupings [PDF]

, 1989
Semantic database models utilize several fundamental forms of groupings to increase their expressive power. In this paper we consider four of the most common of these constructs; basic set groupings, is-a related groupings, power set groupings, and ...
Bic, Lubomir, Gilbert, Jonathan, Rundensteiner, Elke, Yin, Meng-Lai   +3 more
core  

Inference with Constrained Hidden Markov Models in PRISM

, 2010
A Hidden Markov Model (HMM) is a common statistical model which is widely used for analysis of biological sequence data and other sequential phenomena.
Chang, CHRISTIAN THEIL HAVE, Christiansen, HENNING CHRISTIANSEN, MATTHIEU PETIT, OLE TORP LASSEN, Roth, Roweis, Sato, Sato, Sato, Sato, Van Hentenryck   +12 more
core   +1 more source