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ML
2002
ACM
123views Machine Learning» more  ML 2002»
13 years 9 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
ICCBR
2001
Springer
14 years 2 months ago
Meta-case-Based Reasoning: Using Functional Models to Adapt Case-Based Agents
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
J. William Murdock, Ashok K. Goel
CCS
2010
ACM
13 years 10 months ago
Modeling attacks on physical unclonable functions
We show in this paper how several proposed Physical Unclonable Functions (PUFs) can be broken by numerical modeling attacks. Given a set of challenge-response pairs (CRPs) of a PU...
Ulrich Rührmair, Frank Sehnke, Jan Sölte...
AIPS
2007
14 years 13 days ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
ICIP
2005
IEEE
14 years 11 months ago
Hexagonal versus orthogonal lattices: a new comparison using approximation theory
We provide a new comparison between hexagonal and orthogonal lattices, based on approximation theory. For each of the lattices, we select the "natural" spline basis func...
Laurent Condat, Dimitri Van De Ville, Thierry Blu