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» Learning with Mixtures of Trees
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WWW
2011
ACM
13 years 4 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
ECRIME
2007
14 years 1 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...
EDUTAINMENT
2006
Springer
14 years 1 months ago
Efficiently Maintaining Consistency Using Tree-Based P2P Network System in Distributed Network Games
There are two main approaches, conservative and optimistic, for maintaining consistency in distributed network games. Under the conservative approach, players may experience netwo...
Kyung Seob Moon, Vallipuram Muthukkumarasamy, Anne...
ICPR
2004
IEEE
14 years 10 months ago
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
Miha Peternel, Ales Leonardis
MM
2005
ACM
139views Multimedia» more  MM 2005»
14 years 3 months ago
Multimodal affect recognition in learning environments
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...
Ashish Kapoor, Rosalind W. Picard