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ICIP
2010
IEEE
13 years 7 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 6 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
13 years 6 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
ICML
2008
IEEE
14 years 10 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
CHI
2009
ACM
14 years 9 months ago
From x-rays to silly putty via Uranus: serendipity and its role in web search
The act of encountering information unexpectedly has long been identified as valuable, both as a joy in itself and as part of task-focused problem solving. There has been a concer...
Jaime Teevan, Paul André, Susan T. Dumais