Results 141 to 150 of about 1,697,264 (287)
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
Exact multi-task aggregation with confidential queries and designated recovery
In the field of IoT healthcare, multiple data users may request aggregate statistics from the same set of data owners simultaneously. Most existing privacy-preserving aggregation schemes are designed for a single, fixed task and often expose the task ...
Hongjian Yin +4 more
doaj +1 more source
Chinese Remainder Theorem is used to solving problems in computing, coding and cryptography. In computing we can compute with shorter numbers instead of large numbers and this will make the computing-process faster and easier.
Chemali, Khalil
core
A Multivariable Chinese Remainder Theorem
16 pages, 1 figure, (this is an update from a January 2005 paper)
openaire +2 more sources
A Test of the Coase Conjecture Using Prices of Electronic Books
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
Diorganotelluride···N Chalcogen Bonds: Analysis and Tuning of Two σ‐Holes
Two new chalcogen bond aggregates were analyzed using single crystal X‐ray diffraction: an oligomeric ChB aggregate between bis(pentafluorophenyl) telluride and DABCO, and a monoadduct between (pentafluorophenyl)(phenyl) telluride and quinuclidine. In addition to some of the shortest intermolecular Te···N contacts reported, these structures provide ...
Thokozire Sweetland +5 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
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
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source
The Chinese Remainder Theorem Through Inquiry
Number theory is classically taught through the rote presentation of theorems and proofs supported by subsequent problem sets which employ or build upon these theorems.
Butler, Rebecca
core
ANPGT: Towards Adaptive Node Property Extraction and Integration
ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen +4 more
wiley +1 more source

