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CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 7 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
CORR
2010
Springer
86views Education» more  CORR 2010»
13 years 6 months ago
Secure Multiparty Computation with Partial Fairness
A protocol for computing a functionality is secure if an adversary in this protocol cannot cause more harm than in an ideal computation where parties give their inputs to a truste...
Amos Beimel, Eran Omri, Ilan Orlov
ICML
2004
IEEE
14 years 1 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
SSS
2010
Springer
134views Control Systems» more  SSS 2010»
13 years 6 months ago
Storage Capacity of Labeled Graphs
We consider the question of how much information can be stored by labeling the vertices of a connected undirected graph G using a constant-size set of labels, when isomorphic label...
Dana Angluin, James Aspnes, Rida A. Bazzi, Jiang C...
DAC
2006
ACM
14 years 8 months ago
Stochastic variational analysis of large power grids considering intra-die correlations
For statistical timing and power analysis that are very important problems in the sub-100nm technologies, stochastic analysis of power grids that characterizes the voltage fluctua...
Praveen Ghanta, Sarma B. K. Vrudhula, Sarvesh Bhar...