Results 21 to 30 of about 22,146 (217)

Incorporating Prior Knowledge into Regularized Regression [PDF]

Bioinformatics, 2020
Abstract Motivation Associated with genomic features like gene expression, methylation, and genotypes, used in statistical modeling of health outcomes, there is a rich set of meta-features like functional annotations, pathway information, and knowledge from previous studies, that can be used post-hoc
Chubing Zeng, Duncan C. Thomas, Juan Pablo Lewinger   +2 more
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Ön Bilgi, Okuma Hataları ve Kelime Tanıma Becerilerinin Okuduğunu Anlamaya Etkisi

Ana Dili Eğitimi Dergisi, 2023
Araştırmanın ilk amacı, ilkokul üçüncü sınıfa devam öğrencilerin ön bilgileri, okuma hataları ve kelime tanıma becerilerinin okuduğunu anlama becerisini yordama düzeyini incelenmektir.
Hayati Akyol, Halil İbrahim Öksüz
doaj   +1 more source

CLSQL: Improved Q-Learning Algorithm Based on Continuous Local Search Policy for Mobile Robot Path Planning

Sensors, 2022
How to generate the path planning of mobile robots quickly is a problem in the field of robotics. The Q-learning(QL) algorithm has recently become increasingly used in the field of mobile robot path planning.
Tian Ma, Jiahao Lyu, Jiayi Yang, Runtao Xi, Yuancheng Li, Jinpeng An, Chao Li   +6 more
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Efficient Facial Landmark Detection via Prior Knowledge-Guided Agents

IEEE Access
We present a highly efficient, agent-based framework for facial landmark detection that prioritizes model compactness and computational efficiency over maximum accuracy.
Seongmin Jin, Doo Seok Jeong
doaj   +1 more source

Spectral Super-Resolution With Prior Knowledge [PDF]

IEEE Transactions on Signal Processing, 2015
We address the problem of super-resolution frequency recovery using prior knowledge of the structure of a spectrally sparse, undersampled signal. In many applications of interest, some structure information about the signal spectrum is often known. The prior information might be simply knowing precisely some signal frequencies or the likelihood of a ...
Kumar Vijay Mishra, Myung Cho, Anton Kruger, Weiyu Xu   +3 more
openaire   +2 more sources

Quantum search with prior knowledge

Science China Information Sciences
Search-base algorithms have widespread applications in different scenarios. Grover's quantum search algorithms and its generalization, amplitude amplification, provide a quadratic speedup over classical search algorithms for unstructured search. We consider the problem of searching with prior knowledge.
Xiaoyu He, Xiaoming Sun 0001, Jialin Zhang 0001   +2 more
openaire   +2 more sources

Dead Fish Detection Model Based on DD-IYOLOv8

Fishes
In aquaculture, the presence of dead fish on the water surface can serve as a bioindicator of health issues or environmental stressors. To enhance the precision of detecting dead fish floating on the water’s surface, this paper proposes a detection ...
Jianhua Zheng, Yusha Fu, Ruolin Zhao, Junde Lu, Shuangyin Liu   +4 more
doaj   +1 more source

Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar

IET Radar, Sonar & Navigation, 2023
In high frequency (HF) hybrid sky‐surface wave radar, the first‐order sea clutter broadening is severe under the action of ionospheric phase disturbance and bistatic angles.
Ya‐Jun Li, Zhuo‐Qun Wang, Lin Xu, Wen‐Hao Zhang, Zhu‐Hao Lu, Zhi‐Cheng Wang   +5 more
doaj   +1 more source

Integrating Prior Knowledge into Attention for Ship Detection in SAR Images

Applied Sciences, 2023
Although they have achieved great success in optical images, deep convolutional neural networks underperform for ship detection in SAR images because of the lack of color and textual features.
Yin Pan, Lei Ye, Yingkun Xu, Junyi Liang
doaj   +1 more source

But For This Prior Knowledge [PDF]

, 2020
Eight prose poems by Mike Ferguson written in response to paintings by Rupert ...
Loydell, Rupert, Ferguson, Mike
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