Results 91 to 100 of about 9,520,135 (306)
An Effective Optimization Method for Machine Learning Based on ADAM
Applied Sciences, 2020 A machine is taught by finding the minimum value of the cost function which is induced by learning data. Unfortunately, as the amount of learning increases, the non-liner activation function in the artificial neural network (ANN), the complexity of the ...
Dokkyun Yi, Jaehyun Ahn, Sangmin Ji
doaj +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Advanced Materials, EarlyView.Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Hessian Barrier Algorithms for Non-Convex Conic Optimization
A key problem in mathematical imaging, signal processing and computational statistics is the minimization of non-convex objective functions that may be non-differentiable at the relative boundary of the feasible set.
Dvurechensky, Pavel, Staudigl, Mathias
core +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Advanced Materials, EarlyView.Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
Non convex optimization problems on weakly compact subsets of Banach spaces
Journal of Numerical Analysis and Approximation Theory, 1980 Not available.
Ş. Cobzaş
doaj +2 more sources
Convex and Exact Games with Non-transferable Utility [PDF]
We generalize exactness to games with non-transferable utility (NTU). In an exact game for each coalition there is a core allocation on the boundary of its payoff set. Convex games with transferable utility are well-known to be exact.
Miklós Pintér +3 more
core +2 more sources
Optimality conditions in non-convex set-valued optimization
Mathematical Methods of Operations Research (ZOR), 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +5 more sources
Lock-Free Optimization for Non-Convex Problems
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Stochastic gradient descent (SGD) and its variants have attracted much attention in machine learning due to their efficiency and effectiveness for optimization. To handle large-scale problems, researchers have recently proposed several lock-free strategy based parallel SGD (LF-PSGD) methods for multi-core systems.
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
openaire +3 more sources
Advanced Materials, EarlyView.A hierarchical flexible ceramic nanofiber membrane integrates a La‐stabilized ZrO2 scaffold with superhydrophobic UiO‐66‐NH2/CdS heterojunctions. The gas–liquid–solid interfacial architecture sustains vapor‐selective desalination, visible‐light charge separation, and rapid H2 extraction, enabling simultaneous freshwater production and photocatalytic ...
Pengfei Lin +9 more
wiley +1 more source
Secure Beamforming in Full-Duplex Two-Way Relay Networks With SWIPT for Multimedia Transmission
IEEE Access, 2020 With the advent of 5G, multimedia services in wireless communication networks will grow dramatically. So far, many researches have focused on improving security, throughput and channel capacity to support multimedia services.
Fang Liu +3 more
doaj +1 more source