Results 201 to 210 of about 2,485 (226)

Hallmarks of adaptive immunity in a metastatic clear cell renal cell carcinoma (ccRCC) long-term elite survivor

Tucci F, Drydale E, Bancroft J, Amin S, Pernes J, Gardumi G, Kanyowa T, Lima M, Nasreddin N, Lombardi O, Leedham S, Rendek A, Browning L, Bugarin Estrada E, Montandon R, Revale S, Slawinski H, Mole D, Protheroe A, Sivakumar S, Bashford-Rogers R.   +20 more
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Cryo-EM structures of Egl–BicD–RNA complexes reveal how diverse mRNAs are selected for subcellular localization

Singh K, Chilaeva S, McClintock MA, Carter AP, Bullock SL.   +4 more
europepmc   +1 more source

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Kernel-based Nonlinear Fit with Total Least Square(TLS) Method

2007 Chinese Control Conference, 2006
In this paper, on the basis of linear fit in the total least square(TLS) method sense, we proposed a method of nonlinear fit in the TLS method sense via kernel representation. Namely, by using an appropriate kernel function, the problems of nonlinear fit can be transformed to the problems of linear fit without paying the computational penalty and ...
Hu Guanghua, Fu Guanghui
openaire   +1 more source

Application of total least squares (TLS) to the design of sparse signal representation dictionaries

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2003
Sparse signal representation has been the subject of much research in recent years in a variety of applications. We address the problem of learning a dictionary of waveforms from a given set of data signals, which may then be used to provide efficient and meaningful signal decompositions.
S.F. Cotter, B.D. Rao
openaire   +1 more source

Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training

2005
We present a robust recursive total least squares (RRTLS) algorithm for multilayer feed-forward neural networks. So far, recursive least squares (RLS) has been successfully applied to training multilayer feed-forward neural networks. However, if input data has additive noise, the results from RLS could be biased.
Jun-Seok Lim, Nakjin Choi, Koeng-Mo Sung
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Interference Suppression with Total Least Square (TLS) Algorithm and Constant Modulus Algorithm (CMA)

The International Conference on Electrical Engineering, 2008
K. El-Barbary, K. Moustafa, H. Hassan, M. Alshol   +3 more
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Adjustment of Real-time Kinematic-Global Positioning System (RTK-GPS) Survey Data: A Comparative Performance Analysis of the Back Propagation Artificial Neural Network (BPANN) and the Total Least Squares (TLS) Techniques

This study seeks to conduct an empirical evaluation of the performances of two soft computing methodologies comprising the Levenberg-Marquardt Back Propagation Artificial Neural Network (LMBPANN) and the Bayesian Regularisation Backpropagation Artificial Neural Network (BRBPANN).
Larbi, Edwin Kojo, Peprah, Michael Stanley, Asenso-gyambibi, Daniel   +2 more
openaire   +1 more source

<title>Total least squares (TLS) regression, wavelength, and chromophore selection analysis in NIRS data quantification</title>

SPIE Proceedings, 1995
Sabine Van Huffel, Paul Casaer, Peter Van Mele, Gert Willems   +3 more
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<title>Frequency-selective techniques based on singular value decomposition (SVD), total least squares (TLS), and bandpass filtering</title>

SPIE Proceedings, 1994
Hua Chen, Sabine Van Huffel, Joos Vandewalle   +2 more
openaire   +1 more source

Adaptive Two-Stage Monte Carlo Algorithm for Accuracy Estimation of Total Least Squares

Journal of Surveying Engineering, - ASCE, 2023
Leyang Wang, Wang Leyang
exaly