Results 111 to 120 of about 23,779 (205)

Removing $$\delta $$ δ -dependence in minimal interpretable model learning: distribution conditions and structural parameters

Journal of King Saud University: Computer and Information Sciences
Learning minimal interpretable models (e.g., decision trees, decision sets, and binary decision diagrams) is computationally challenging, yet increasingly important in high-stakes settings.
Zhigao Huang, Shiyan Zheng, Quanfa Li
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Constrained and ordered level planarity parameterized by the number of levels

Journal of Computational Geometry
The problem Level Planarity asks for a crossing-free drawing of a graph in the plane such that vertices are placed at prescribed y-coordinates (called levels) and such that every edge is realized as a y-monotone curve.
Václav Blažej, Boris Klemz, Felix Klesen, Marie Diana Sieper, Alexander Wolff, Johannes Zink   +5 more
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The Parameterized Complexity of the Survivable Network Design Problem

, 2022
For the well-known Survivable Network Design Problem (SNDP) we are given an undirected graph $G$ with edge costs, a set $R$ of terminal vertices, and an integer demand $d_{s,t}$ for every terminal pair $s,t\in R$. The task is to compute a subgraph $H$ of
Mukherjee, Anish, van Leeuwen, Erik Jan, Feldmann, Andreas Emil   +2 more
core  

Enhanced natural parameterized quantum circuit

Physical Review Research
The classical-quantum interface for loading classical data into quantum systems is an indispensable component of quantum information processing, and the parameterized quantum circuit (PQC) represents significant methodology in this area.
Yuquan Chen, Yanjun Hou, Zeyuan Wang, Tianyun Wang, Ze Wu, Zhaokai Li, Xinhua Peng   +6 more
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Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11

Sensors
Drone-view object detection models operating under low-light conditions face several challenges, such as object scale variations, high image noise, and limited computational resources.
Tianhang Weng, Xiaopeng Niu
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On-board Multi-User Detection Algorithm Based on Conditional Neural Process

天地一体化信息网络, 2021
With the characteristics of all-terrain, all-weather and seamless coverage, satellite communications have become a potentially important part of 6G.An important prerequisite for achieving satellite intelligence is that the satellite have on-board ...
Yilun LIU, Liang JIN, Jiali LI, Lidong ZHU   +3 more
doaj  

Quantum Computing Meets Deep Learning: A QCNN Model for Accurate and Efficient Image Classification

Mathematics
In deep learning, Convolutional Neural Networks (CNNs) serve as fundamental models, leveraging the correlational structure of data for tasks such as image classification and processing.
Sunil Prajapat, Manish Tomar, Pankaj Kumar, Rajesh Kumar, Athanasios V. Vasilakos   +4 more
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Parameterized Complexity of Paired Domination

The Paired Domination problem is one of the well-studied variants of the classical Dominating Set problem. In a graph G on nvertices, a dominating set D (set of vertices such that N[D] = V (G)) is called a paired dominating set of G, if G[D] has perfect matching. In the Paired Domination problem, given a graph G and a positive integer k, the task is to
Andreev, Nikita, Bliznets, Ivan, Kundu, Madhumita, Saurabh, Saket, Tripathi, Vikash, Verma, Shaily   +5 more
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Parameterized complexity of quantum invariants

CoRR, 2019
We give a general fixed parameter tractable algorithm to compute quantum invariants of links presented by diagrams, whose complexity is singly exponential in the carving-width (or the tree-width) of the diagram. In particular, we get a $O(N^{\frac{3}{2} \mathrm{cw}} \mathrm{poly}(n))$ time algorithm to compute any Reshetikhin-Turaev invariant---derived
openaire   +5 more sources

Scalable parameterized quantum circuits classifier

Scientific Reports
As a generalized quantum machine learning model, parameterized quantum circuits (PQC) have been found to perform poorly in terms of classification accuracy and model scalability for multi-category classification tasks. To address this issue, we propose a
Xiaodong Ding, Zhihui Song, Jinchen Xu, Yifan Hou, Tian Yang, Zheng Shan   +5 more
doaj   +1 more source