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» Packet Classification Algorithms: From Theory to Practice
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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
IJCAI
2007
13 years 10 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng
CCR
2004
91views more  CCR 2004»
13 years 8 months ago
New techniques for making transport protocols robust to corruption-based loss
Current congestion control algorithms treat packet loss as an indication of network congestion, under the assumption that most losses are caused by router queues overflowing. In r...
Wesley M. Eddy, Shawn Ostermann, Mark Allman
ICML
2006
IEEE
14 years 9 months ago
Ranking on graph data
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
Shivani Agarwal
ECCV
2010
Springer
13 years 11 months ago
Emotion Recognition from Arbitrary View Facial Images
Abstract. Emotion recognition from facial images is a very active research topic in human computer interaction (HCI). However, most of the previous approaches only focus on the fro...