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IJON
2008
133views more  IJON 2008»
15 years 5 months ago
A multi-objective approach to RBF network learning
The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) comple...
Illya Kokshenev, Antônio de Pádua Bra...
ICASSP
2011
IEEE
14 years 10 months ago
Fast algorithms for Iterative Adaptive Approach spectral estimation techniques
This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting ...
George-Othon Glentis, Andreas Jakobsson
ICDE
2005
IEEE
101views Database» more  ICDE 2005»
16 years 8 months ago
GPIVOT: Efficient Incremental Maintenance of Complex ROLAP Views
Data warehousing and on-line analytical processing (OLAP) are essential for decision support applications. Common OLAP operations include for example drill down, roll up, pivot an...
Songting Chen, Elke A. Rundensteiner
170
Voted
CADE
2009
Springer
16 years 1 months ago
Complexity and Algorithms for Monomial and Clausal Predicate Abstraction
predicate abstraction Shuvendu K. Lahiri and Shaz Qadeer Microsoft Research In this paper, we investigate the asymptotic complexity of various predicate abstraction problems relati...
Shuvendu K. Lahiri, Shaz Qadeer
217
Voted
ICC
2009
IEEE
143views Communications» more  ICC 2009»
16 years 1 months ago
Low Complexity Markov Chain Monte Carlo Detector for Channels with Intersymbol Interference
— In this paper, we propose a novel low complexity soft-in soft-out (SISO) equalizer using the Markov chain Monte Carlo (MCMC) technique. Direct application of MCMC to SISO equal...
Ronghui Peng, Rong-Rong Chen, Behrouz Farhang-Boro...