10054 search results - page 447 / 2011 » On the Complexity of Function Learning |
126
Voted
NIPS
2007
15 years 6 months ago
2007
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
118
Voted
CORR
2010
Springer
15 years 5 months ago
2010
Springer
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
186
Voted
ACISP
2006
Springer
15 years 11 months ago
2006
Springer
In this paper we are interested in algebraic immunity of several well known highly-nonlinear vectorial Boolean functions (or Sboxes), designed for block and stream ciphers. Unfortu...
140
click to vote
JSAC
2006
15 years 4 months ago
2006
The characterization of the transfer function of the power line (PL) channel is a nontrivial task that requires a truly interdisciplinary approach. Until recently, a common attribu...
152
click to vote
IACR
2011
14 years 4 months ago
2011
Program Obfuscation is the problem of transforming a program into one which is functionally equivalent, yet whose inner workings are completely unintelligible to an adversary. Des...