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PR
2007
104views more  PR 2007»
13 years 9 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 7 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
EMNLP
2009
13 years 7 months ago
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Matti Kääriäinen
MM
2004
ACM
136views Multimedia» more  MM 2004»
14 years 3 months ago
Fingerprinting and forensic analysis of multimedia
One of the prime reasons movie and music studios have ignored the Internet for open-networked multimedia content delivery, has been the lack of a technology that can support a sec...
Daniel Schonberg, Darko Kirovski
ESANN
2006
13 years 11 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...