3 papers
cs.CL2026
LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems
Yuhang Zhou, Zhuokai Zhao, Ke Li +14
Feature selection is a crucial step in large-scale industrial machine learning systems, directly affecting model accuracy, efficiency, and maintainability. Traditional feature sele…
cs.DS2016
Constant Approximation for Capacitated -Median with -Capacity Violation
Gökalp Demirci, Shi Li
We study the Capacitated k-Median problem for which existing constant-factor approximation algorithms are all pseudo-approximations that violate either the capacities or the upper…
cs.FL2014
Alternating, private alternating, and quantum alternating realtime automata
Gökalp Demirci, Mika Hirvensalo, Klaus Reinhardt +2
We present new results on realtime alternating, private alternating, and quantum alternating automaton models. Firstly, we show that the emptiness problem for alternating one-count…