Quantifying uncertainty is a hot topic for uncertain information processing in the framework of evidence theory, but there is limited research on belief entropy in the open world assumption.
Bin Yang +3 more
doaj +1 more source
On Multistage Multiscale Stochastic Capacitated Multiple Allocation Hub Network Expansion Planning
The hub location problem (HLP) basically consists of selecting nodes from a network to act as hubs to be used for flow traffic directioning, i.e., flow collection from some origin nodes, probably transfer it to other hubs, and distributing it to ...
Laureano F. Escudero, Juan F. Monge
doaj +1 more source
Multi-Period Portfolio Optimization Using Dynamic Programming Approach [PDF]
Portfolio selection has always been one of the important issues in the field of investment management, which discusses how to allocate an investor's capital to different assets and form an efficient portfolio.
Negin Mohebbi, Amir Abbas Najafi
doaj +1 more source
Scalable aggregation predictive analytics: a query-driven machine learning approach [PDF]
We introduce a predictive modeling solution that provides high quality predictive analytics over aggregation queries in Big Data environments. Our predictive methodology is generally applicable in environments in which large-scale data owners may or may ...
Anagnostopoulos, Christos +2 more
core +1 more source
Advances and Challenges in Machine Learning-Based Cardinality Estimation for Database Query Optimization [PDF]
Accurate cardinality estimation is critical for optimizing database queries, yet traditional methods often fail to provide reliable predictions in the face of complex queries, skewed data distributions, and high-dimensional schemas.
Guan Zhibin
doaj +1 more source
Subsystem identification of feedback and feedforward systems with time delay
We present an algorithm for identifying discrete-time feedback-and-feedforward subsystems with time delay that are interconnected in closed loop with a known subsystem.
S. Alireza Seyyed Mousavi +3 more
doaj +1 more source
Transformasi Skema Basis Data Relasional Menjadi Model Data Berorientasi Dokumen pada MongoDB
MongoDB is a database that uses document-oriented data storage models. In fact, to migrate from a relational database to NoSQL databases such as MongoDB is not an easy matter especially if the data are extremely complex.
I Gede Winaya, Ahmad Ashari
doaj +1 more source
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability [PDF]
Embedded software is growing fast in size and complexity, leading to intimate mixture of complex architectures and complex control. Consequently, software specification requires modeling both structures and behaviour of systems.
Antkiewicz, Michal +5 more
core +2 more sources
F-formation Detection: Individuating Free-standing Conversational Groups in Images [PDF]
Detection of groups of interacting people is a very interesting and useful task in many modern technologies, with application fields spanning from video-surveillance to social robotics.
Chiara Bassetti +4 more
core +2 more sources
Counter Simulations via Higher Order Quantifier Elimination: a preliminary report [PDF]
Quite often, verification tasks for distributed systems are accomplished via counter abstractions. Such abstractions can sometimes be justified via simulations and bisimulations.
Ghilardi, Silvio, Pagani, Elena
core +2 more sources

