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AAAI
1993
15 years 8 months ago
Model Simplification by Asymptotic Order of Magnitude Reasoning
One of the hardest problems in reasoning about a physical system is finding an approximate model that is mathematically tractable and yet captures the essence of the problem. Appr...
Kenneth Man-kam Yip
ICIAP
2007
ACM
16 years 7 months ago
Sparseness Achievement in Hidden Markov Models
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
Manuele Bicego, Marco Cristani, Vittorio Murino
HICSS
2009
IEEE
127views Biometrics» more  HICSS 2009»
16 years 1 months ago
An Optimization Model for Tactical Planning of Wood Procurement
This paper presents a new LP (Linear Programming) model to solve a tactical wood procurement and harvesting problem. This optimization problem occurs in several wood supply chains...
Anders Skjäl, Kaj-Mikael Björk, Jenny &O...
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
16 years 9 days ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
ISIPTA
2003
IEEE
140views Mathematics» more  ISIPTA 2003»
16 years 2 days ago
A Second-Order Uncertainty Model of Independent Random Variables: An Example of the Stress-Strength Reliability
A second-order hierarchical uncertainty model of a system of independent random variables is studied in the paper. It is shown that the complex nonlinear optimization problem for ...
Lev V. Utkin