Results 111 to 120 of about 3,588,558 (310)
Testing the generalised efficacy of technical analysis with bootstrapped aggregated regression trees [PDF]
In this paper we examine the predictive power of the combined use of 23 known technical patterns and indicators, on 25 of the world’s most famous market indices, over the last decade.
Tsinaslanidis, P., Zapranis, A.
core
Design Hybrid ARO-SVR Analysis to Predict the Pile Bearing Capacity
The assessment of the load-bearing capacity of piles holds significant importance in the design of pile foundations. This paper presents hybridized support vector regression (SVR) models by utilizing the Artificial Rabbit Optimization (ARO) and the Black
Yafan LIU, Wenjun MA
doaj +1 more source
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source
Image metadata estimation using independent component analysis and regression [PDF]
In this paper, we describe an approach to camera metadata estimation using regression based on Independent Component Analysis (ICA). Semantic scene classification of images using camera metadata related to capture conditions has had some success in the ...
O'Connor, Noel E. +3 more
core
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Objective Machine learning methods using regression models can predict actual values of histological eosinophil count from blood eosinophil levels. Therefore, these methods might be useful for diagnosing eosinophilic chronic rhinosinusitis, but their ...
Hiroatsu Hatsukawa, Masaaki Ishikawa
doaj +1 more source
Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction
In this research, the impact of various weather conditions on digital television signals is investigated. Machine learning and nonlinear regression models were used to estimate the strength of the received signal.
Ivana Stefanovic +3 more
doaj +1 more source
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Bayesian Analysis for Penalized Spline Regression Using WinBUGS [PDF]
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Matthew P. Wand +2 more
core +1 more source

