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JMLR
2008
230views more  JMLR 2008»
15 years 6 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
16 years 10 days ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...
NECO
2000
88views more  NECO 2000»
15 years 6 months ago
Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable, i.e., different values of the mixture parameters can correspond to exactly the...
Miguel Á. Carreira-Perpiñán, ...
INFOCOM
2010
IEEE
15 years 4 months ago
High-Speed Per-Flow Traffic Measurement with Probabilistic Multiplicity Counting
On today's high-speed backbone network links, measuring per-flow traffic information has become very challenging. Maintaining exact per-flow packet counters on OC-192 or OC-76...
Peter Lieven, Björn Scheuermann
CVPR
2012
IEEE
13 years 9 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...