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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 7 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
CIARP
2009
Springer
16 years 1 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
194
Voted
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
16 years 27 days ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
GLOBECOM
2006
IEEE
16 years 23 days ago
Optimal Signaling for Single Transmit Antenna Selection with Erroneous Feedback
We consider a MIMO system where error-prone feedback from the receiver is used by the transmitter to select a single optimum antenna to transmit data. Such error-prone feedback is...
Yabo Li, Neelesh B. Mehta, Andreas F. Molisch, Jin...
AAMAS
2005
Springer
16 years 8 days ago
Towards Adaptive Role Selection for Behavior-Based Agents
This paper presents a model for adaptive agents. The model describes the behavior of an agent as a graph of roles, in short a behavior graph. Links between roles provide conditions...
Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivie...