Search: singular value decomposition — Academic Articles

Collaborative Filtering Recommendation Algorithm Based on Semi-Autoencoder

ZHANG Haobo, XUE Feng, LIU Kai • Jisuanji gongcheng (2021)

To effectively use the user-item interaction history and auxiliary information in recommendation systems,this paper proposes an improved collaborative filtering recommendation algorithm.Based on semi-autoencoder,the features of auxiliary in...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0056700

View Article » Original Source ↗

Influence of convectively coupled equatorial Kelvin waves on March-May precipitation over East Africa

Okello Ochieng Phillip, Tan Guirong, Ongoma Victor, Nyandega Isaiah • Geographica Pannonica (2021)

Convectively coupled equatorial Kelvin waves (CCEKWs) are those types of equatorially trapped disturbances that propagate eastward and are among the most common intra-seasonal oscillations in the tropics. There exists two-way feedback betwe...

DOAJ Open Access (DOAJ) DOI: 10.5937/gp25-31132

View Article » Original Source ↗

Adaptive low-rank variational quantum algorithm for simulating dissipative dynamics in photosynthetic complexes

Atiye Zeynali, Zahra Bakhshi • Scientific Reports (2026)

Abstract Simulating open quantum system dynamics via exact density-matrix propagation faces exponential complexity, scaling as $$\mathcal{O}(4^n)$$ and becoming intractable beyond approximately 15 chromophores on classical hardware—despite ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-60704-6

View Article » Original Source ↗

Frozen Weights as Prior for Parameter-Efficient Fine-Tuning

Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan et al. • IEEE Access (2025)

In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. However, the full fine-tuning approach of...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3529807

View Article » Original Source ↗

Multi-Modal Image Fusion Based on Matrix Product State of Tensor

Yixiang Lu, Rui Wang, Qingwei Gao, Dong Sun et al. • Frontiers in Neurorobotics (2021)

Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily. The traditional tensor decomposi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnbot.2021.762252

View Article » Original Source ↗

Machine Learning in Action

Peter de B. Harrington (2012)

SummaryMachine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to bui...

OPENALEX

View Article » Original Source ↗

Academic Articles & Research Papers

Collaborative Filtering Recommendation Algorithm Based on Semi-Autoencoder

Influence of convectively coupled equatorial Kelvin waves on March-May precipitation over East Africa

Adaptive low-rank variational quantum algorithm for simulating dissipative dynamics in photosynthetic complexes

Frozen Weights as Prior for Parameter-Efficient Fine-Tuning

Multi-Modal Image Fusion Based on Matrix Product State of Tensor

Machine Learning in Action