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» Pose Classification Using Support Vector Machines
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ICONIP
2007
15 years 3 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor
VEE
2012
ACM
322views Virtualization» more  VEE 2012»
13 years 10 months ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
151
Voted
EMNLP
2009
15 years 4 days ago
A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
NIPS
2000
15 years 3 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile
IH
2009
Springer
15 years 9 months ago
Microphone Classification Using Fourier Coefficients
Media forensics tries to determine the originating device of a signal. We apply this paradigm to microphone forensics, determining the microphone model used to record a given audio...
Robert Buchholz, Christian Krätzer, Jana Ditt...