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Pattern Recognit
Laboratory of Signal Processing and Speech Communication, Graz University of Technology, Austria.
Published: February 2013
The margin criterion for parameter learning in graphical models gained significant impact over the last years. We use the maximum margin score for discriminatively optimizing the structure of Bayesian network classifiers. Furthermore, greedy hill-climbing and simulated annealing search heuristics are applied to determine the classifier structures. In the experiments, we demonstrate the advantages of maximum margin optimized Bayesian network structures in terms of classification performance compared to traditionally used discriminative structure learning methods. Stochastic simulated annealing requires less score evaluations than greedy heuristics. Additionally, we compare generative and discriminative parameter learning on both generatively and discriminatively structured Bayesian network classifiers. Margin-optimized Bayesian network classifiers achieve similar classification performance as support vector machines. Moreover, missing feature values during classification can be handled by discriminatively optimized Bayesian network classifiers, a case where purely discriminative classifiers usually require mechanisms to complete unknown feature values in the data first.
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http://dx.doi.org/10.1016/j.patcog.2012.08.007 | DOI Listing |
Allergy Asthma Clin Immunol
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University of Cincinnati, College of Medicine, Cincinnati, OH, USA.
Background: The goal of on-demand treatment for hereditary angioedema attacks is to halt attack progression to minimize morbidity and mortality. Four on-demand treatments have been approved thus far (ecallantide, icatibant, recombinant human C1 esterase inhibitor [rhC1INH], and plasma-derived C1INH). Results from the sebetralstat phase 3 KONFIDENT trial (NCT05259917) have been reported.
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Radiation Oncology Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
Aim: Crizotinib, an anaplastic lymphoma kinase tyrosine kinase inhibitor (ALK-TKI). It gained approval from the U.S.
View Article and Find Full Text PDFBMC Cardiovasc Disord
March 2025
Bahrain Defence Force Royal Medical Servies, Manama, Kingdom of Bahrain.
Background: Triple antithrombotic therapy (TAT), combining dual antiplatelet therapy (DAPT) with oral anticoagulants, is commonly used in patients requiring long-term anticoagulation following acute coronary syndrome or percutaneous coronary intervention. However, TAT may increase the risk of hemorrhage. There is a dearth of data regarding the risks of bleeding with various oral anticoagulants in TAT in comparison with DAPT and individual anticoagulants and antiplatelets due to which we carried out the present study examining the real-world pharmacovigilance data.
View Article and Find Full Text PDFISA Trans
March 2025
School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China; Beijing Key Laboratory of Computing Intelligence and Intelligent Systems, Beijing 100124, China. Electronic address:
Intelligent control strategies can significantly enhance the efficiency of model parameter adjustment. However, existing intelligent motion control strategies for robotic arms based on the broad learning system lack sufficient accuracy and fail to account for the effects of joint motion limitations on overall control performance. To address the aforementioned challenges, this paper proposes a robotic arm motion control strategy based on a deep cascaded feature-enhanced Bayesian broad learning system with motion constraints (MC-DCBLS).
View Article and Find Full Text PDFComplement Ther Clin Pract
March 2025
Department of Physical Education, Dong-A University, Busan, South Korea. Electronic address:
Background And Purpose: The global prevalence of Alzheimer's disease (AD) in the elderly is rising, and exercise is increasingly used as a non-pharmacological intervention. However, the most effective exercise modality for improving quality of life, alleviating depression, and reducing neuropsychiatric symptoms in AD patients remains unclear. This study aims to identify the optimal exercise modality for addressing these symptoms through a network meta-analysis.
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