Advertisement

Topics

Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors.

08:00 EDT 4th April 2019 | BioPortfolio

Summary of "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, currently latent factor (LF) analysis-based QoS-predictors are mostly defined on static QoS data without the consideration of such temporal dynamics. To address this issue, this paper presents a biased non-negative latent factorization of tensors (BNLFTs) model for temporal pattern-aware QoS prediction. Its main idea is fourfold: 1) incorporating linear biases into the model for describing QoS fluctuations; 2) constraining the model to be non-negative for describing QoS non-negativity; 3) deducing a single LF-dependent, non-negative, and multiplicative update scheme for training the model; and 4) incorporating an alternating direction method into the model for faster convergence. The empirical studies on two dynamic QoS datasets from real applications show that compared with the state-of-the-art QoS-predictors, BNLFT represents temporal patterns more precisely with high computational efficiency, thereby achieving the most accurate predictions for missing QoS data.

Affiliation

Journal Details

This article was published in the following journal.

Name: IEEE transactions on cybernetics
ISSN: 2168-2275
Pages:

Links

DeepDyve research library

PubMed Articles [14030 Associated PubMed Articles listed on BioPortfolio]

A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information.

Many link prediction methods have been developed to infer unobserved links or predict missing links based on the observed network structure that is always incomplete and subject to interfering noise. ...

SL 2 MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization.

Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets. However, wet-lab experiments for detecting SLs are faced with various challenges, such as high cost, lo...

Heterogeneous Recommendation via Deep Low-rank Sparse Collective Factorization.

Real-world recommender usually makes use of heterogeneous types of user feedbacks-for example, binary ratings such as likes and dislikes and numerical rating such as 5-star grades. In this work, we fo...

Learning to Predict Drug Target Interaction from Missing Not at Random Labels.

The prediction of Drug-Target Interaction (DTI) is an important research direction in bioinformatics as it greatly shortens the development cycle of new drugs. State-of-theart computational methods fo...

The Latent Structure of Negative Symptoms in Schizophrenia.

Negative symptoms are associated with a range of poor clinical outcomes, and currently available treatments generally do not produce a clinically meaningful response. Limited treatment progress may be...

Clinical Trials [4467 Associated Clinical Trials listed on BioPortfolio]

Observational Study of Spatio-Temporal Patterns of New Cases of Acute Myeloid Leukemia

Published data regarding the temporal pattern of AML are scarce and old. The greater knowledge of these neoplasias has made that their classification has been remarkable modified. Therefor...

The Effect of Temporal Muscle Suspension of Temporal Hollowing

The primary objective is to identify which patients undergoing a traditional pterional approach with 2 different surgical techniques for TMS (Temporal Muscle Suspension) will develop TH (T...

Does the Deep Layer of the Deep Temporalis Fascia Really Exist?

It has been widely accepted that a split of the deep temporal fascia occurs approximately 2 to 3 cm above the zygomatic arch, named the superficial and deep layers. The deep layer of the d...

Direction Modulation of Muscle Synergies After a Stroke

The aim of the study is to investigate the capacity of post-stroke individual (study group) to modulate their EMG muscle activation pattern (MAP) compared to healthy individuals (control g...

Osteopathy and Latent Hypothyroidism

This study evaluates the effectiveness of stimulating the neurological segments c8-th5 in patients with latent hypothyroidism. One half of the participants will receive an osteopathic ma...

Medical and Biotech [MESH] Definitions

A neurosurgical procedure that removes the anterior TEMPORAL LOBE including the medial temporal structures of CEREBRAL CORTEX; AMYGDALA; HIPPOCAMPUS; and the adjacent PARAHIPPOCAMPAL GYRUS. This procedure is generally used for the treatment of intractable temporal epilepsy (EPILEPSY, TEMPORAL LOBE).

Predicting the time of OVULATION can be achieved by measuring the preovulatory elevation of ESTRADIOL; LUTEINIZING HORMONE or other hormones in BLOOD or URINE. Accuracy of ovulation prediction depends on the completeness of the hormone profiles, and the ability to determine the preovulatory LH peak.

Biased behaviors or attitudes, differential treatment, unequal access to social participation or opportunities based on age.

The stage of syphilis that occurs following the primary (CHANCRE) and secondary stages. The patient is asymptomatic at the latent stage but remains seropositive for the SPIROCHETE.

A localization-related (focal) form of epilepsy characterized by recurrent seizures that arise from foci within the temporal lobe, most commonly from its mesial aspect. A wide variety of psychic phenomena may be associated, including illusions, hallucinations, dyscognitive states, and affective experiences. The majority of complex partial seizures (see EPILEPSY, COMPLEX PARTIAL) originate from the temporal lobes. Temporal lobe seizures may be classified by etiology as cryptogenic, familial, or symptomatic (i.e., related to an identified disease process or lesion). (From Adams et al., Principles of Neurology, 6th ed, p321)

Advertisement
Quick Search
Advertisement
Advertisement

 


DeepDyve research library

Relevant Topic

Antiretroviral therapy
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...


Searches Linking to this Article