This paper presents a novel approach for dealing with the structural risk minimization (SRM) applied to a general setting of the machine learning problem. The formulation is based on the fundamental concept that supervised learning is a bi-objective optimization problem in which two conflicting objectives should be minimized. The objectives are related to the empirical training error and the machine complexity. In this paper, one general Q-norm method to compute the machine complexity is presented, and, as a particular practical case, the minimum gradient method (MGM) is derived relying on the definition of the fat-shattering dimension. A practical mechanism for parallel layer perceptron (PLP) network training, involving only quasi-convex functions, is generated using the aforementioned definitions. Experimental results on 15 different benchmarks are presented, which show the potential of the proposed ideas.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TNN.2008.2000442 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
In vitro evolution of ciprofloxacin resistance in Neisseria commensals and derived mutation population dynamics in natural Neisseria populations.
FEMS Microbiol Lett
January 2025
Rochester Institute of Technology, Thomas H. Gosnell School of Life Sciences, Rochester, NY, USA.
Commensal Neisseria are members of a healthy human oropharyngeal microbiome; however, they also serve as a reservoir of antimicrobial resistance for their pathogenic relatives. Despite their known importance as sources of novel genetic variation for pathogens, we still do not understand the full suite of resistance mutations commensal species can harbor. Here, we use in vitro selection to assess the mutations that emerge in response to ciprofloxacin selection in commensal Neisseria by passaging 4 replicates of 4 different species in the presence of a selective antibiotic gradient for 20 days; then categorized derived mutations with whole genome sequencing.
View Article and Find Full Text PDFThermal Behavior of Tropical Sea Cucumber of : Preliminary Issues.
Animals (Basel)
December 2024
Departamento de Acuicultura, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada 22860, B.C., Mexico.
We investigated the growth, preferences, and thermal resistance of the sea cucumber to understand its thermal biology. Sixty individuals were kept in tanks at two temperatures (23 °C and 26 °C) for 30 days to determine their favorable maintenance temperature. Their survival rates and specific growth rates were measured to establish their ideal conditioning temperature in the laboratory.
View Article and Find Full Text PDFComprehensive Non-invasive Versus Invasive Approach to Evaluate Cardiac Allograft Vasculopathy in Heart Transplantation: The CCTA-HTx Study.
Circ Cardiovasc Imaging
January 2025
Cardiovascular Center Aalst, Onze-Lieve-Vrouwziekenhuis (OLV) Clinic, Aalst, Belgium (M. Belmonte, P.P., M.M.V., M. Beles, H.O., R.S., G.E., M.S., R.D., W.H., J.V.K., J.B., M.V.).
Background: Coronary computed tomography angiography (CCTA) is emerging as a valuable tool for noninvasive surveillance of cardiac allograft vasculopathy (CAV) in patients with heart transplant (HTx). We assessed the diagnostic performance of a comprehensive CCTA-based approach compared with the invasive reference, which includes invasive coronary angiography, intravascular ultrasound, and fractional flow reserve, for detecting CAV.
Methods: This was a multicenter prospective study including 37 patients with HTx who underwent CCTA, invasive coronary angiography, intravascular ultrasound, and fractional flow reserve.
Comparative study on the reaction mechanism of 5-hydroxymethyl furfural on Pd(111) and Cu(111).
J Mol Model
January 2025
School of Chemistry & Chemical Engineering, Linyi University, Linyi, 276000, China.
Context: In this work, a comparative study on the catalytic conversion of 5-hydroxymethyl furfural (HMF) to 2,5-bis(hydroxymethyl)furan (BHMF) on precious Pd(111) and nonprecious Cu(111) was systematically performed. On the basis of the calculated activation energy (E) and reaction energy (E), the optimal energy path for the hydrogenation of HMF (F-CHO) into BHMF (F-CHOH) on Pd(111) is as follows: F-CHO + 2H → F-CHOH + H → F-CHOH; the minimum reaction path on Cu(111) is F-CHO + 2H → F-CHO + H → F-CHOH. On Cu(111), the formation of F-CHOH from F-CHO hydrogenation is the rate-determining step because it has the highest reaction energy barrier and the smallest rate constant.
View Article and Find Full Text PDFFactor Retention in Exploratory Multidimensional Item Response Theory.
Educ Psychol Meas
January 2025
Faculty of Psychology and Educational Sciences, KU Leuven, Campus KULAK, Kortrijk, Belgium.
Multidimensional Item Response Theory (MIRT) is applied routinely in developing educational and psychological assessment tools, for instance, for exploring multidimensional structures of items using exploratory MIRT. A critical decision in exploratory MIRT analyses is the number of factors to retain. Unfortunately, the comparative properties of statistical methods and innovative Machine Learning (ML) methods for factor retention in exploratory MIRT analyses are still not clear.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!