نتایج جستجو برای: scaled mse

تعداد نتایج: 26118  

Journal: :Academic journal of business & management 2023

Utilizing historical data from the Quandl API, this experiment investigates use of Convolutional Neural Networks (CNNs) in stock price prediction. The information for Microsoft Corporation (MSFT) spans dates January 1, 2013, and May 18, 2018. high, low, open, close prices are scaled, input sequences length 6 created order to capture temporal dependencies. Dense layers, 1D convolutional max pool...

Journal: :IOP Conference Series: Materials Science and Engineering 2021

2001
Mark L. Fowler

The location of an emitter is estimated by intercepting its signal and sharing the data among several platforms to measure the time-difference-of-arrival (TDOA) and the frequency-difference-of-arrival (FDOA). Doing this in a timely fashion requires effective data compression. A common compression approach is to use a rate-distortion criterion where distortion is taken to be the mean-square erro...

2015
Kenji Watanabe Shuichi Shibuya Yusuke Ozawa Naotaka Izuo Takahiko Shimizu

The oxidative damages induced by a redox imbalance cause age-related changes in cells and tissues. Superoxide dismutase (SOD) enzymes play a pivotal role in the antioxidant system and they also catalyze superoxide radicals. Since the loss of cytoplasmic SOD (SOD1) resulted in aging-like phenotypes in several types of murine tissue, SOD1 is essential for the maintenance of tissue homeostasis. Me...

2004
Kalyan Das Jiming Jiang N. K. RAO

The term “empirical predictor” refers to a two-stage predictor of a linear combination of fixed and random effects. In the first stage, a predictor is obtained but it involves unknown parameters; thus, in the second stage, the unknown parameters are replaced by their estimators. In this paper, we consider mean squared errors (MSE) of empirical predictors under a general setup, where ML or REML ...

Journal: :Signal Processing 2017
Shunsuke Koshita Yuki Noguchi Masahide Abe Masayuki Kawamata

This paper theoretically analyzes the Mean Square Error (MSE) on the steady-state frequency estimation realized by the all-pass-based adaptive notch filtering algorithms with the normalized lattice structure. The adaptive algorithms to be considered are the Simplified Lattice Algorithm (SLA) proposed by Regalia and the Affine Combination Lattice Algorithm (ACLA) proposed by the authors. For the...

2005
MSE

t is exciting to be a microelectronic systems educator considering the enormous impact of microelectronic engineers on a wide range of human endeavors. MSE fills a critical niche in enabling microelectronic systems educators to share in this excitement and exchange ideas on how to best prepare future microelectronics engineers. We challenge each other and our students to ever greater contributi...

2009
Weigang Qie Chenfan Xu Lars Rönnegård

A two-way linear mixed model with three variance components as 1, 2 2 and 2 e is applied to evaluate the performance of modi…ed Henderson’s method 3 developed by Al-Sarraj and Rosen (2007). The focus of modi…ed procedure is on the estimation of 1 which variance components is mainly concerned. The modi…ed estimator is expected to perform better than unmodi…ed Henderson’s method 3 in terms of MSE...

جوهری مجد, وحید, حدائق, فرزاد, سدهی, مرتضی, محرابی, یداله, کاظم نژاد, انوشیروان,

Background & Objective: Mixed outcomes arise when, in a multivariate model, response variables measured on different scales such as binary and continuous. Artificial neural networks (ANN) can be used for modeling in situations where classic models have restricted application when some of their assumptions are not met. In this paper, we propose a method based on ANNs for modeling mixed binary a...

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