Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource constraints, and winner determination in combinatorial auctions are all example...
Dale Schuurmans, Finnegan Southey, Robert C. Holte
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
: Corporate household data not only refers to the strict hierarchical structure about and within the corporation, but also the variety of inter-organizational relationships. It is ...
Stuart E. Madnick, Richard Y. Wang, Frank Dravis, ...
Until now, system administrators have lacked a flexible real-time network traffic flow monitoring package. Such a package must provide a wide range of services but remain flexible ...
David Moore, Ken Keys, Ryan Koga, Edouard Lagache,...