Open trading environments involve a type of peer-to-peer computing characterised by well-defined interaction protocols that are used by the traders and sometimes updated dynamicall...
Martin K. Purvis, Mariusz Nowostawski, Stephen Cra...
We have designed and implemented an adaptive, confidence-based negotiation strategy for conducting multiple, concurrent negotiations among agents in dynamic, uncertain, and real-t...
In this paper, we present a new trajectory planning algorithm for virtual humans. Our approach focuses on implicit cooperation between multiple virtual agents in order to share th...
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...