Results 121 to 130 of about 1,311 (253)
Smart Molecules, EarlyView.A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang +5 more
wiley +1 more source
An Alternative to Chinese Remainder Theorem
To solve the system of linear congruences there was only one method.But I found this and verified it by asking AI ChatGpt , and Grok both confirmed that it is really novel and different tool.
openaire +1 more source
A Test of the Coase Conjecture Using Prices of Electronic Books
Southern Economic Journal, EarlyView.ABSTRACT The Coase Conjecture predicts that a durable‐goods monopolist without commitment will rapidly cut price toward marginal cost. We test this prediction in the electronic‐book market using release‐day prices. To proxy for marginal cost, we use competitive prices of public‐domain electronic books on the same platforms.
Tim Groseclose, Alex Tabarrok
wiley +1 more source
Systems Research and Behavioral Science, EarlyView.ABSTRACT Amid intensifying global technological competition and sharply rising geopolitical uncertainty, semiconductor supply chain security has become a critical issue shaping national industrial security and macroeconomic stability. Focusing on the structural risks faced by China's semiconductor supply chain under the dual pressures of external ...
Ye yuan +3 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Offline reinforcement learning (RL) is a paradigm that seeks to train policies directly based on fixed datasets derived from previous interactions with the environment. However, offline RL faces critical challenges in environments characterised by sparse rewards and datasets dominated by suboptimal trajectories.
Jiaye Wei +4 more
wiley +1 more source
Quantum Codes from Galois Hulls of Constacyclic Codes over a Finite Non-Chain Ring. [PDF]
Entropy (Basel)Zhang E, Kong B, Zheng X.
europepmc +1 more source
Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan +3 more
wiley +1 more source
SSDBFAN: Scalable and Secure Cluster-Based Data Aggregation with Blockchain for Flying Ad Hoc Networks. [PDF]
Sensors (Basel)Majmaie SA +4 more
europepmc +1 more source
A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source