The final illustrative examples demonstrate the effectiveness and the convergence properties of the recursive algorithms.doi:10.1016/j.dsp.2016.05.005Cao, PengfeiLuo, XionglinElsevier Inc.Digital Signal ProcessingCao, P.; Luo, X. Performance analysis of multi-innovation stochastic Newton recursive ...
This study presents the analysis of the stochastic cancer virotherapy model in the cell population dynamics. The model results have restored the properties of the biological problem, such as dynamical consistency, positivity, and boundedness, which are the considerable requirements of the models in ...
Doop— Doop is a declarative framework for static analysis of Java/Android programs, centered on pointer analysis algorithms. Doop provides a large variety of analyses and also the surrounding scaffolding to run an analysis end-to-end (fact generation, processing, statistics, etc.). ENRE-java ...
Among the base classifiers, XGBoost and gradient boosting decision tree (GBDT)27 are the two most frequently selected classifiers because of their better prediction performances (Fig. 3g). We also found that mutual information (MI)28, recursive feature selection based on random forest (RFE-RF)29...
Self-Consistent Recursive Diffusion Bridge for Medical Image Translation Fuat Arslan, Bilal Kabas, Onat Dalmaz, Muzaffer Ozbey, Tolga Çukur [10th May, 2024] [arXiv, 2024] [Paper] [GitHub]Tackling Structural Hallucination in Image Translation with Local Diffusion Seunghoi Kim, Chen Jin, ...
The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals1. Here, using high-throughput transcriptomic and epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys
The UGF technique is based on an intuitive and simple recursive process, and provides a systematic method for the enumeration of system states, which can replace extremely complex combinatorial algorithms (Ushakov 1986). According to the UGF method, the procedure of evaluating system reliability with...
(Wiener-Kalman) filters direct from data ; the estimation of parameters in multi-input, single output (MISO) transfer function models ; the design of simple stochastic approximation (SA) implementations of the refined IV algorithms ; and the use of the recursive algorithms in self-adaptive (self...
Pati, Y.C., Rezaiifar, R., Krishnaprasad, P.S.: Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition. In: Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, pp. 40–44. IEEE (1993) ...
STOKE - A programming-language agnostic stochastic optimizer for the x86_64 instruction set. It uses random search to explore the extremely high-dimensional space of all possible program transformations.Awkgawk --lint - Warns about constructs that are dubious or nonportable to other awk ...