Results 251 to 260 of about 9,482,218 (334)

Residual permutation tests for feature importance in machine learning

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley   +1 more source

Machine Learning and Deep Learning Frameworks for Human-Virus Protein-Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and Challenges. [PDF]

Int J Mol Sci
Basu S, Adhikary D, Ghosh K, Chattopadhyay S, Deb S, Mondal R, Roy J, Chowdhury A, Benito-León J.   +8 more
europepmc   +1 more source

Basis Networks: Learning basis functions for free‐form triangulations

Computer Graphics Forum, EarlyView.
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley   +1 more source

A physics-driven machine learning framework for predicting XRD patterns, magnetization, and magnetocaloric response in rare-earth-doped double perovskite oxides. [PDF]

RSC Adv
Meftah S, Elhadjamor EA, Bouzidi S, Soltani S, Haouas A, Juraszek J, Dhahri J.   +6 more
europepmc   +1 more source

Potential applications of artificial intelligence in pain management: a scoping review. [PDF]

Front Pain Res (Lausanne)
Viderman D, Kalikanov S, Tungushpayev M, Lee MH, Won DO.   +4 more
europepmc   +1 more source

A Bio-Inspired Weather-System Sensing Framework for Physically Constrained Precipitation Nowcasting Correction. [PDF]

Biomimetics (Basel)
Qu Y, Feng X, Luo L, Deng X, Kang R, Lv G, Shi J, Peng W, Gan J, Cai K, Wei P, Li Z.   +11 more
europepmc   +1 more source

Machine Learning for Gas Capture in Ionic Liquids: Current Status and Future Trends. [PDF]

Molecules
Tian G, Hu Z, Geng R.
europepmc   +1 more source

Decoding Chinese speech across multiple neural conditions via EEG: dataset construction and interpretability driven spatial optimization. [PDF]

Front Psychol
Wang H, Zhang G, Xie X, Qin Y, Zheng T, Zhou C, Huang J, Tian F, Wei S.   +8 more
europepmc   +1 more source

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A Study on Single and Multi-layer Perceptron Neural Network

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), 2019
Perceptron is the most basic model among the various artificial neural nets, has historically impacted and initiated the research in the field of artificial nets, with intrinsic learning algorithm and classification property.
Jaswinder Singh, Rajdeep H. Banerjee
semanticscholar   +2 more sources