Results 21 to 30 of about 2,954,755 (181)
Approximate Bayesian Computation via Classification
, 2021 Approximate Bayesian Computation (ABC) enables statistical inference in simulator-based models whose likelihoods are difficult to calculate but easy to simulate from. ABC constructs a kernel-type approximation to the posterior distribution through an accept/reject mechanism which compares summary statistics of real and simulated data.
Wang, Yuexi +2 more
openaire +3 more sources
Glomerulus Classification via an Improved GoogLeNet
IEEE Access, 2020 Glomerulosclerosis is a pathomorphological feature of glomerular lesions. Early detection, accurate judgement and effective prevention of the glomeruli is crucial not only for people with kidney disease, but also for the general population. We proposed a
Xujing Yao +4 more
doaj +1 more source
Knowledge-based gene expression classification via matrix factorization [PDF]
, 2008 Motivation: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze ...
A. M. Tomé +47 more
core +3 more sources
Learning Incoherent Subspaces: Classification via Incoherent Dictionary Learning [PDF]
, 2015 In this article we present the supervised iterative projections and rotations (s-ipr) algorithm, a method for learning discriminative incoherent subspaces from data.
D Barchiesi +8 more
core +1 more source
Guaranteed Classification via Regularized Similarity Learning [PDF]
Neural Computation, 2014 Learning an appropriate (dis)similarity function from the available data is a central problem in machine learning, since the success of many machine learning algorithms critically depends on the choice of a similarity function to compare examples. Despite many approaches to similarity metric learning that have been proposed, there has been little ...
Guo, Zheng-Chu, Ying, Yiming
openaire +3 more sources
Mapping strengths into virtues: The relation of the 24 VIA-strengths to six ubiquitous virtues
Frontiers in Psychology, 2015 The Values-in-Action (VIA)-classification distinguishes six core virtues and 24 strengths. As the assignment of the strengths to the virtues was done on theoretical grounds it still needs empirical verification.
Willibald eRuch, René T Proyer
doaj +1 more source
Classification via an Embedded Approach
Designs, 2017 This paper presents the results of an automated volatile organic compound (VOC) classification process implemented by embedding a machine learning algorithm into an Arduino Uno board.
José de Jesús Rubio +5 more
doaj +1 more source
improving speech emotion recognition via gender classification [PDF]
مجله مدل سازی در مهندسی, 2017 Speech emotion recognition is a relatively new field of research that could plays an important role in man-machine interaction. In this paper we use from two new spectral features for the automatic recognition of human affective information from speech ...
Ali Harimi, Khashayar Yaghmaie
doaj +1 more source
Robust Feature Detection and Local Classification for Surfaces Based on Moment Analysis [PDF]
, 2004 The stable local classification of discrete surfaces with respect to features such as edges and corners or concave and convex regions, respectively, is as quite difficult as well as indispensable for many surface processing applications.
Clarenz, Ulrich, +2 more
core +2 more sources
Character Strengths Profiles in Medical Professionals and Their Impact on Well-Being
Frontiers in Psychology, 2020 Character strengths profiles in the specific setting of medical professionals are widely unchartered territory. This paper focused on an overview of character strengths profiles of medical professionals (medical students and physicians) based on ...
Alexandra Huber +5 more
doaj +1 more source