Latest Articles for Algorithms

A new method to encourage patient actions for effective treatment.

This article discusses methods to find missing subgraphs in larger graphs.

Examining how natural processes influence machine learning training methods.

A method for maintaining large matchings in frequently updated graphs.

Examining the significance of counting computations in complexity and cryptography.

This study investigates how negative feedback can enhance graph traversal efficiency.

Exploring the benefits of Wasserstein distances in machine learning model generalisation.

Investigating the isomorphism problem in power graphs and its implications.

A new deterministic algorithm for (degree + 1)-list coloring in distributed systems.

New approaches in boosting algorithms improve accuracy and handle noise effectively.

A new optimizer enhances quantum circuit instantiation and efficiency.

New findings highlight differences in randomized and deterministic algorithms.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

Explores the link between the chase algorithm and sequent calculus in query answering.

Exploring ε-covers for efficient querying in high-dimensional data analysis.

New algorithm ensures safety in reinforcement learning under constraints.

Learn how tensor networks can simplify complex data in machine learning.

A deep dive into the complexities of checking paths in graphs using context-free grammars.

A look at graph matching and its applications in social networks and beyond.

New algorithms improve efficiency in approximating treewidth for complex graph issues.

This work introduces new rules for graph editing to achieve trivially perfect structures.

A new algorithm improves fair house-swapping among people with similar preferences.

Innovative methods improve ads targeting efficiency using sparse data and advanced algorithms.

This paper reviews models adapting to new tasks without forgetting prior knowledge.

A new method for quickly identifying k-edge-connected subgraphs in large graphs.

A novel approach simplifies clustering in large graphs.

A study of rook's graph properties and their implications in graph theory.

A look into the complexities and solutions for ECC and VCC problems.

A new algorithm improves responsiveness in dynamic online scenarios.

Learn about faster methods for measuring string similarity using edit distance.

Exploring the complexities of integer packing within geometric shapes.

New methods tackle challenges in weighted low rank approximation efficiently.

This study focuses on minimizing network lengths connecting specific points in geometry.

A novel algorithm enhances data recovery from limited observations.

This article presents a novel method for multiclass boosting in machine learning.

Learn how minimal separators impact various fields including computer science and network analysis.

A look into improving distribution approximations using moments and spectral properties.

New framework boosts performance in prophet inequality scenarios through sharding and Poissonization.

A look into first-order logic enhanced by data management.

Discover efficient methods for string handling using DAWGs and suffix trees.