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JMLR
2010
136views more  JMLR 2010»
15 years 1 months ago
Reducing Label Complexity by Learning From Bags
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
Sivan Sabato, Nathan Srebro, Naftali Tishby
MICRO
2010
IEEE
119views Hardware» more  MICRO 2010»
15 years 1 months ago
Task Superscalar: An Out-of-Order Task Pipeline
We present Task Superscalar, an abstraction of instruction-level out-of-order pipeline that operates at the tasklevel. Like ILP pipelines, which uncover parallelism in a sequential...
Yoav Etsion, Felipe Cabarcas, Alejandro Rico, Alex...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
15 years 1 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
SIAMCO
2010
115views more  SIAMCO 2010»
15 years 1 months ago
Identification of Hammerstein Systems with Quantized Observations
This work is concerned with identification of Hammerstein systems whose outputs are measured by quantized sensors. The system consists of a memoryless nonlinearity that is polynomi...
Yanlong Zhao, Ji-Feng Zhang, Le Yi Wang, Gang Geor...
TCSV
2010
15 years 1 months ago
Perceptually Unequal Packet Loss Protection by Weighting Saliency and Error Propagation
We describe a method for achieving perceptually minimal video distortion over packet-erasure networks using perceptually unequal loss protection (PULP). There are two main ingredie...
Hojin Ha, Jincheol Park, Sanghoon Lee, Alan Conrad...
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