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ALT
2009
Springer
14 years 7 months ago
Agnostic Clustering
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
Maria-Florina Balcan, Heiko Röglin, Shang-Hua...
DAGM
2011
Springer
12 years 10 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
ICVGIP
2008
14 years 9 days ago
Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application
As vision algorithms mature with increasing inspiration from the learning community, statistically independent pseudo random number generation (PRNG) becomes increasingly importan...
Andrew Janowczyk, Sharat Chandran, Srinivas Aluru
INFOCOM
2008
IEEE
14 years 5 months ago
BodyQoS: Adaptive and Radio-Agnostic QoS for Body Sensor Networks
—As wireless devices and sensors are increasingly deployed on people, researchers have begun to focus on wireless body-area networks. Applications of wireless body sensor network...
Gang Zhou, Jian Lu, Chieh-Yih Wan, Mark D. Yarvis,...
COLT
2008
Springer
14 years 19 days ago
Polynomial Regression under Arbitrary Product Distributions
In recent work, Kalai, Klivans, Mansour, and Servedio [KKMS05] studied a variant of the "Low-Degree (Fourier) Algorithm" for learning under the uniform probability distr...
Eric Blais, Ryan O'Donnell, Karl Wimmer