airline data 1cluster analysis 1dimensionality reduction 1kernel pca 1principal component analysis 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Orthogonality and Dimensionality in Airline Cluster Analysis using PCA and Kernel PCA
Andreas Schlapbach
The paper replicates a US airline profit-cycle clustering study, showing that k‑means clustering on principal component scores yields the same six‑cluster solution as the raw data,…
cs.AI2026
Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach
Andreas Schlapbach
The emergence of large language model agents capable of invoking external tools has created urgent need for formal verification of agent protocols. Two paradigms dominate this spac…
cs.AI2026
The Convergence of Schema-Guided Dialogue Systems and the Model Context Protocol
Andreas Schlapbach
This paper establishes a fundamental convergence: Schema-Guided Dialogue (SGD) and the Model Context Protocol (MCP) represent two manifestations of a unified paradigm for determini…