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» Learning to learn with the informative vector machine
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ICML
2007
IEEE
16 years 5 months ago
Mixtures of hierarchical topics with Pachinko allocation
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
David M. Mimno, Wei Li, Andrew McCallum
149
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ICML
2007
IEEE
16 years 5 months ago
Classifying matrices with a spectral regularization
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
Ryota Tomioka, Kazuyuki Aihara
ICML
2005
IEEE
16 years 5 months ago
Hierarchical Dirichlet model for document classification
The proliferation of text documents on the web as well as within institutions necessitates their convenient organization to enable efficient retrieval of information. Although tex...
Sriharsha Veeramachaneni, Diego Sona, Paolo Avesan...
ICML
2002
IEEE
16 years 5 months ago
Kernels for Semi-Structured Data
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
Hisashi Kashima, Teruo Koyanagi
ICALT
2009
IEEE
15 years 11 months ago
Enhancing Computer Assisted Assessment Using Rubrics in a QTI Editor
With the aim of facilitating teachers the use of good techniques in computer assisted assessment, this paper proposes the integration of rubric functionalities in an editor compli...
Patricia Santos, Xavier Colina, Davinia Hern&aacut...