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EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 18 days ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
ESOP
2008
Springer
13 years 9 months ago
Verification of Higher-Order Computation: A Game-Semantic Approach
Abstract. We survey recent developments in an approach to the verification of higher-order computation based on game semantics. Higherorder recursion schemes are in essence (progra...
C.-H. Luke Ong
ICASSP
2011
IEEE
12 years 11 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
FSTTCS
2007
Springer
14 years 1 months ago
Program Analysis Using Weighted Pushdown Systems
Abstract. Pushdown systems (PDSs) are an automata-theoretic formalism for specifying a class of infinite-state transition systems. Infiniteness comes from the fact that each con...
Thomas W. Reps, Akash Lal, Nicholas Kidd
ESANN
2004
13 years 9 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain