Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
IEEE

Multiplierless DFT Approximation Based on the Prime Factor Algorithm

Abstract: Matrix approximation methods have successfully produced efficient, low-complexity approximate transforms for the discrete cosine transforms and the discrete Fourier transforms. For the DFT ...
IEEE

An Inner Approximation Algorithm for Dynamic Optimization With Strict Satisfaction of Path Constraints

Abstract: An inner approximation algorithm is proposed for path-constrained dynamic optimization (PCDO) by iteratively solving restrictions of PCDO (RPCDO). First, an upper bound function of the path ...
GitHub

Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning

We propose the Trust Region Preference Approximation (TRPA) algorithm ⚙️, which integrates rule-based optimization with preference-based optimization for LLM reasoning tasks 🤖🧠. As a ...
Forbes

The YouTube Formula: The Secret To Creating Top-Performing Videos

The YouTube algorithm is often seen as a mysterious black box, determining which videos rise to fame and which languish in obscurity. But according to Todd Beaupré, who manages YouTube's ...
GitHub

Tutorial on using Qiskit's qiskit.algorithms.time_evolvers.variational package for variational quantum imaginary and real-time evolution based on McLachlan's variational principle

1.Variational quantum time evolution leverages variational principles to approximate the time evolution of quantum systems. It aims to find the optimal parameters that minimize the discrepancy between ...
Frontiers

Convex Approximation Algorithm for AC/DC Distribution Network With Energy Router

1 Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China 2 State Grid Economic and Technological Research Institute Co., Ltd., Beijing, China The optimal operation ...
Scientific Research Publishing

Krivelevich, M., Nutov, Z., Salvatpour, M.R., Yuster, J. and Yuster, R. (2007) Approximation Algorithms and Hardness Results for Cycle Packing Problems. ACM Transactions on ...

ABSTRACT: Let be an undirected graph. The maximum cycle packing problem in G then is to find a collection of edge-disjoint cycles Ciin G such that s is maximum. In general, the maximum cycle packing ...