Latent factor-based recommenders relying on extended stochastic gradient descent algorithms
High-dimensional and sparse (HiDS) matrices generated by recommender systems contain
rich knowledge regarding various desired patterns like users’ potential preferences and …
rich knowledge regarding various desired patterns like users’ potential preferences and …
Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors
Quality-of-service (QoS) data vary over time, making it vital to capture the temporal patterns
hidden in such dynamic data for predicting missing ones with high accuracy. However, …
hidden in such dynamic data for predicting missing ones with high accuracy. However, …
Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data
A nonnegative latent factorization of tensors (NLFT) model precisely represents the temporal
patterns hidden in multichannel data emerging from various applications. It often adopts a …
patterns hidden in multichannel data emerging from various applications. It often adopts a …
Topology selection for particle swarm optimization
Particle swarm optimization (PSO) uses a social topology for particles to share information
among neighbors during optimization. A large number of existing literatures have shown that …
among neighbors during optimization. A large number of existing literatures have shown that …
A distributed swarm optimizer with adaptive communication for large-scale optimization
Large-scale optimization with high dimensionality and high computational cost becomes
ubiquitous nowadays. To tackle such challenging problems efficiently, devising distributed …
ubiquitous nowadays. To tackle such challenging problems efficiently, devising distributed …
A distributed framework for large-scale protein-protein interaction data analysis and prediction using mapreduce
Protein-protein interactions are of great significance for human to understand the functional
mechanisms of proteins. With the rapid development of high-throughput genomic …
mechanisms of proteins. With the rapid development of high-throughput genomic …
ACO-A*: Ant colony optimization plus A* for 3-D traveling in environments with dense obstacles
Path planning is one of the most important problems in the development of autonomous
underwater vehicles (AUVs). In some common AUV missions, eg, wreckage search for rescue, …
underwater vehicles (AUVs). In some common AUV missions, eg, wreckage search for rescue, …
A dynamic logistic dispatching system with set-based particle swarm optimization
With the rapid development of e-commerce, logistics industry becomes a crucial component
in the e-commercial ecological chain. Impelled by both economical and environmental …
in the e-commercial ecological chain. Impelled by both economical and environmental …
Influence of an extrusion approach on the fiber orientation and mechanical properties of engineering cementitious composite
In this study, an extrusion approach was proposed to improve the fiber orientation degree in
engineering cementitious composite (ECC) during the casting process. The influence of the …
engineering cementitious composite (ECC) during the casting process. The influence of the …
Influence of fiber orientation on the mechanical responses of engineering cementitious composite (ECC) under various loading conditions
The mechanical performance of engineered cementitious composite (ECC) depends greatly
on fiber orientation and distribution. In this paper, the effect of fiber orientation on ECC's …
on fiber orientation and distribution. In this paper, the effect of fiber orientation on ECC's …