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JACIII
2006
97views more  JACIII 2006»
15 years 6 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
IJISTA
2007
124views more  IJISTA 2007»
15 years 6 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
TSE
2002
133views more  TSE 2002»
15 years 6 months ago
Quality, Productivity, and Learning in Framework-Based Development: An Exploratory Case Study
This paper presents an empirical study in an industrial context on the production of software using a framework. Frameworks are semicomplete applications, usually implemented as a ...
Maurizio Morisio, Daniele Romano, Ioannis Stamelos
REALWSN
2010
15 years 4 months ago
Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest
We study the characteristics of the communication links of a wireless sensor network in a tropical cloud forest in Ecuador, in the context of a wildlife monitoring application. Thi...
Matteo Ceriotti, Matteo Chini, Amy L. Murphy, Gian...
CHI
2010
ACM
16 years 1 months ago
Blogging in a region of conflict: supporting transition to recovery
The blogosphere is changing how people experience war and conflict. We conducted an analysis of 125 blogs written by Iraqi citizens experiencing extreme disruption in their countr...
Ban Al-Ani, Gloria Mark, Bryan Semaan