Results 81 to 90 of about 2,076,683 (280)

Ensemble Feature Selection Method with Fast Transfer Model [PDF]

open access: yesJisuanji kexue yu tansuo
Compared with the traditional ensemble feature selection methods, the recently-developed ensemble feature selection with block-regularized [m×2] cross-validation (EFSBCV) not only has a variance of the estimator smaller than that of random [m×2] cross ...
NING Baobin, WANG Shitong
doaj   +1 more source

Photoproduction of the $\omega$ meson on the proton at large momentum transfer

open access: yes, 2002
The differential cross section, $d\sigma/dt$ for $\omega$ meson exclusive photoproduction on the proton above the resonance region ($2 ...
Asavapibhop, B   +7 more
core   +1 more source

PICALM::MLLT10 translocated leukemia

open access: yesFEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen   +7 more
wiley   +1 more source

Transfer bounds for linear feature learning [PDF]

open access: yesMachine Learning, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

open access: yesFEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan   +5 more
wiley   +1 more source

Cross-domain topic transfer learning method based on multiple balance and feature fusion

open access: yesHeliyon
In transfer learning, traditional homogeneous transfer learning assumes similar data and feature distributions between the source and target domains, focusing primarily on parameter sharing to enhance model performance.
Zhenshun Xu   +3 more
doaj   +1 more source

Deep adversarial domain adaptation network

open access: yesInternational Journal of Advanced Robotic Systems, 2020
The advantage of adversarial domain adaptation is that it uses the idea of adversarial adaptation to confuse the feature distribution of two domains and solve the problem of domain transfer in transfer learning.
Lan Wu   +3 more
doaj   +1 more source

F-structure transfer-based statistical machine translation [PDF]

open access: yes, 2009
In this paper, we describe a statistical deep syntactic transfer decoder that is trained fully automatically on parsed bilingual corpora. Deep syntactic transfer rules are induced automatically from the f-structures of a LFG parsed bitext corpus by ...
Bryl, Anton   +2 more
core  

Wave packet transmission of Bloch electron manipulated by magnetic field

open access: yes, 2005
We study the phenomenon of wave packet revivals of Bloch electrons and explore how to control them by a magnetic field for quantum information transfer. It is showed that the single electron system can be modulated into a linear dispersion regime by the "
C. P. Sun, S. Yang, Z. Song, Z. Song
core   +1 more source

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

open access: yesFEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson   +7 more
wiley   +1 more source

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