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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 7 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
EVOW
2009
Springer
16 years 1 months ago
Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...
Antonia Azzini, Célia da Costa Pereira, And...
IWANN
2009
Springer
16 years 1 months ago
Thomas: Practical Applications of Agents and Multiagent Systems
This paper presents a brief summary of the contents of the special session on practical applications held in the framework of IWANN 2009. The special session has been supported by ...
Javier Bajo, Juan M. Corchado
IWANN
2009
Springer
16 years 1 months ago
Integrating Graph-Based Vision Perception to Spoken Conversation in Human-Robot Interaction
In this paper we present the integration of graph-based visual perception to spoken conversation in human-robot interaction. The proposed architecture has a dialogue manager as the...
Wendy Aguilar, Luis A. Pineda
IJCNN
2008
IEEE
16 years 29 days ago
On the sample mean of graphs
— We present an analytic and geometric view of the sample mean of graphs. The theoretical framework yields efficient subgradient methods for approximating a structural mean and ...
Brijnesh J. Jain, Klaus Obermayer