We consider competition between sellers offering similar items in concurrent online auctions through a mediating auction institution, where each seller must set its individual auc...
Enrico H. Gerding, Alex Rogers, Rajdeep K. Dash, N...
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
Ambient Inteligence aims to create smart spaces providing services in a transparent and non-intrusive fashion, so context awareness and user adaptation are key issues. Speech can ...
This research uses functional data modelling to study the price formation process of online auctions. It conceptualizes the price curve and its first and second derivatives (veloc...
We propose a novel approach based on predictive quantization (PQ) for online summarization of multiple time-varying data streams. A synopsis over a sliding window of most recent en...
Fatih Altiparmak, Ertem Tuncel, Hakan Ferhatosmano...