Results 171 to 180 of about 723,870 (293)

Learning the Structure of Decision Tree for Generating Fuzzy Rules Based on Genetic Algorithm

, 1997
Toshio Tsuchiya, Yukihiro Matsubara, Mitsuo Nagamachi   +2 more
openalex   +2 more sources

Automatic Feature Engineering for Learning Compact Decision Trees

, 2022
Inbal Roshanski, Meir Kalech, Lior Rokach   +2 more
openalex   +1 more source

Programmable Dimensional Lithography with Digital Micromirror Devices for Multifunctional Microarchitectures

Advanced Materials Technologies, EarlyView.
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee, Byungcheon Yoo, Chaeyeong Ryu, Jongwon Oh, Dahye Baek, Jiseok Lee   +5 more
wiley   +1 more source

A Photomicrographic Dataset of Rocks for the Accurate Classification of Minerals. [PDF]

Sci Data
Amer BG, Mousa HM, Dawoud M, Youssef A.
europepmc   +1 more source

Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models

T.E. Van der Lei
openalex   +1 more source

Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers [PDF]

Gargya Gokhale, Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder   +3 more
openalex   +1 more source

Adaptive Exact Learning of Decision Trees from Membership Queries [PDF]

, 2019
Nader H. Bshouty, Catherine A. Haddad-Zaknoon   +1 more
openalex   +1 more source

Phase Smoothing for Mutual Coupling Mitigation in Multifunctional Metasurfaces Designed with Diffractive Neural Networks

Advanced Optical Materials, EarlyView.
A diffractive neural networkdesigned metasurface operating at 86 GHz generates multiple holographic patterns by controlling the phase of subwavelength unit cells. A phase‐smoothing regularization mitigates mutual coupling, enabling accurate multifunctional wavefront shaping.
Damián Rodríguez‐Trujillo, Alicia E. Torres‐García, Mikel Aldea, Jorge Teniente, Asier Marzo‐Pérez, Miguel Beruete   +5 more
wiley   +1 more source

Predicting COVID-19 patient recovery or mortality using deep neural decision tree and forest. [PDF]

BMC Res Notes
Dehghani M, Ghobadi MZ, Mohammadi M, Dehkordy DT.   +3 more
europepmc   +1 more source

A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN

Lasmedi Afuan, R. Rizal Isnanto
openalex   +1 more source