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134
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CORR
2010
Springer
124views Education» more  CORR 2010»
15 years 5 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...
INFOCOM
2008
IEEE
15 years 11 months ago
iBubble: Multi-Keyword Routing Protocol for Heterogeneous Wireless Sensor Networks
— Many tasks require multiple sensing capabilities; in Wireless Sensor Networks (WSN), it is expensive to deploy a homogeneous network wherein every sensor has the same functiona...
Xiaoming Lu, Matt Spear, Karl N. Levitt, Shyhtsun ...
FOCS
2009
IEEE
15 years 9 months ago
Space-Efficient Framework for Top-k String Retrieval Problems
Given a set D = {d1, d2, ..., dD} of D strings of total length n, our task is to report the "most relevant" strings for a given query pattern P. This involves somewhat mo...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter
141
Voted
ECCC
2010
124views more  ECCC 2010»
15 years 5 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
ISPAN
1997
IEEE
15 years 9 months ago
A New General Purpose Parallel Database System
This paper is concerned with the transparent parallelisation of declarative database queries, based on theoretical principles. We have designed an entire database architecture sui...
Mohamad Afshar, J. Bates, Gavin M. Bierman, K. Moo...