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» An Introduction to Learning Structured Information
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EMNLP
2007
14 years 11 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
Edward Loper
DATE
2007
IEEE
85views Hardware» more  DATE 2007»
15 years 4 months ago
QuteSAT: a robust circuit-based SAT solver for complex circuit structure
We propose a robust circuit-based Boolean Satisfiability (SAT) solver, QuteSAT, that can be applied to complex circuit netlist structure. Several novel techniques are proposed in ...
Chi-An Wu, Ting-Hao Lin, Chih-Chun Lee, Chung-Yang...
CIKM
2008
Springer
14 years 11 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen
TNN
2010
155views Management» more  TNN 2010»
14 years 4 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
ELPUB
2003
ACM
15 years 3 months ago
Using Scientific Documents for Distance Learning
: In scientific digital libraries many documents such as publications, technical reports, theses, etc. could be used as basic data supports for distance learning in the universitie...
Béatrice Rumpler