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» A New Class Based Associative Classification Algorithm
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108
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AAAI
2006
15 years 3 months ago
Decision Tree Methods for Finding Reusable MDP Homomorphisms
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
Alicia P. Wolfe, Andrew G. Barto
133
Voted
CVPR
2008
IEEE
16 years 4 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...
134
Voted
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 2 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
183
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BDIM
2008
IEEE
205views Business» more  BDIM 2008»
15 years 8 months ago
Mining semantic relations using NetFlow
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...
Alexandru Caracas, Andreas Kind, Dieter Gantenbein...
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 2 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany