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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 5 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ANNS
2007
15 years 1 months ago
Direct and indirect classification of high-frequency LNA performance using machine learning techniques
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Peter C. Hung, Seán F. McLoone, Magdalena S...
CCR
2006
114views more  CCR 2006»
14 years 11 months ago
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
Nigel Williams, Sebastian Zander, Grenville J. Arm...
AI
2007
Springer
15 years 3 months ago
Performance Measures in Classification of Human Communications
This study emphasizes the importance of using appropriate measures in particular text classification settings. We focus on methods that evaluate how well a classifier performs. The...
Marina Sokolova, Guy Lapalme
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 3 days ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...