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ECML
1993
Springer
13 years 11 months ago
1993
Springer
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
RSKT
2010
Springer
13 years 5 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
DRM
2003
Springer
14 years 19 days ago
2003
Springer
Agrawal and Kiernan’s watermarking technique for database relations [1] and Li et al’s fingerprinting extension [6] both depend critically on primary key attributes. Hence, t...
WIOPT
2011
IEEE
12 years 11 months ago
2011
IEEE
—This paper studies the performance of ad hoc networks with local FDMA scheduling using stochastic point processes. In such networks, the Poisson assumption is not justified due...
23
Voted
ARITH
2003
IEEE
14 years 21 days ago
2003
IEEE
In this paper we investigate the implementation of basic arithmetic functions, such as addition and multiplication, in Single Electron Tunneling (SET) technology. First, we descri...