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» Adaptive Kernel Methods Using the Balancing Principle
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IJCAI
2001
13 years 9 months ago
Leveraging Data About Users in General in the Learning of Individual User Models
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
Anthony Jameson, Frank Wittig
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 3 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
DAGM
2007
Springer
14 years 1 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
HIPC
2003
Springer
14 years 25 days ago
Performance Analysis of Blue Gene/L Using Parallel Discrete Event Simulation
High performance computers currently under construction, such as IBM’s Blue Gene/L, consisting of large numbers (64K) of low cost processing elements with relatively small local...
Ed Upchurch, Paul L. Springer, Maciej Brodowicz, S...
ICCV
2009
IEEE
15 years 17 days ago
Detection of Human Actions From A Single Example
We present an algorithm for detecting human actions based upon a single given video example of such actions. The proposed method is unsupervised, does not require learning, segm...
Hae Jong Seo, Peyman Milanfar