This paper studies a load scheduling strategy with nearoptimal processing time leveraging the computational characteristics of parallel DNA sequence alignment algorithms, specific...
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Trust is a sine qua non for trade. According to transaction cost economics, a contract always offers some opportunity to defect. In the case of asymmetric product information, wher...
Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaa...
This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing spe...
Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lep...
We describe a reputation-driven market that motivates human computation sellers (workers) to produce optimal levels of quality when quality is not immediately measurable and contr...