We present a framework for solving multistage pure 0–1 programs for a widely used sequencing and scheduling problem with uncertainty in the objective function coefficients, the...
Antonio Alonso-Ayuso, Laureano F. Escudero, M. Ter...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
We describe a framework of bootstrapped hypothesis testing for estimating the confidence in one web search engine outperforming another over any randomly sampled query set of a gi...
Eric C. Jensen, Steven M. Beitzel, Ophir Frieder, ...
Abstract. Many variants of MI exist in the literature. These vary primarily in how the joint histogram is populated. This paper places the four main variants of MI: Standard sampli...
This paper introduces a self-configuring architecture for scaling the database tier of dynamic content web servers. We use a unified approach to load and fault management based ...
Gokul Soundararajan, Kaloian Manassiev, Jin Chen, ...