Results 71 to 80 of about 8,233,255 (298)

Regression via Logic Supervised Classification [PDF]

, 2013
An approach to the restoration of dependences (regressions) is proposed that is based on solving problems of supervised classification. The main task is finding the optimal partitioning of the range of values of dependent variable on a finite number of intervals. It is necessary to find optimal number of change-points and their positions.
openaire   +1 more source

Classification and comparison via neural networks

Neural Networks, 2019
We consider learning from comparison labels generated as follows: given two samples in a dataset, a labeler produces a label indicating their relative order. Such comparison labels scale quadratically with the dataset size; most importantly, in practice, they often exhibit lower variance compared to class labels.
Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown 0001, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis   +9 more
openaire   +4 more sources

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Polarimetric SAR Data Classification via Reinforcement Learning

IEEE Access, 2019
Inspired by human’s learning characteristic that knowledge is gradually learned little by little, a Spatial-Polarimetric Reinforcement Learning (SPRL) approach is proposed for Polarimetric Synthetic Aperture Radar (PolSAR) data classification ...
Min Wang, Zhiyi Wang, Chen Yang, Shuyuan Yang, Yuteng Gao   +4 more
doaj   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

FEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell, Thomas Walther, Egbert Hoiczyk   +2 more
wiley   +1 more source

Classification-tree restructuring methodologies: A new perspective

, 2002
The classification-tree method developed by Grochtmann et al. provided a useful approach for constructing test cases from functional specifications. It was automated by Chen and Poou through their tree construction methodology. In a follow-up study, Chen
P. L. Poon (19097201), T. H. Tse (19000214), Tsong Chen (18924451)   +2 more
core   +1 more source

Olive Oils Classification via Laser-Induced Breakdown Spectroscopy

Applied Sciences, 2020
The classification of olive oils and the authentication of their geographic origin are important issues for public health and for the olive oil market and related industry.
Nikolaos Gyftokostas, Dimitrios Stefas, Stelios Couris   +2 more
doaj   +1 more source

Drug–target interaction prediction via multiple classification strategies

BMC Bioinformatics, 2022
Background Computational prediction of the interaction between drugs and protein targets is very important for the new drug discovery, as the experimental determination of drug-target interaction (DTI) is expensive and time-consuming.
Qing Ye, Xiaolong Zhang, Xiaoli Lin
doaj   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Classification via ensembles of basic thresholding classifiers

IET Computer Vision, 2016
The authors present a sparsity‐based algorithm, basic thresholding classifier (BTC), for classification applications which is capable of identifying test samples extremely rapidly and performing high classification accuracy.
Mehmet Altan Toksöz, İlkay Ulusoy
doaj   +1 more source