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CORR
2007
Springer
131views Education» more  CORR 2007»
15 years 4 months ago
Bayesian sequential change diagnosis
Sequential change diagnosis is the joint problem of detection and identification of a sudden and unobservable change in the distribution of a random sequence. In this problem, the...
Savas Dayanik, Christian Goulding, H. Vincent Poor
ALT
2007
Springer
15 years 11 months ago
On Universal Transfer Learning
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
M. M. Hassan Mahmud
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 11 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
ICNP
1999
IEEE
15 years 9 months ago
Dynamic Memory Model Based Framework for Optimization of IP Address Lookup Algorithms
The design of software-based algorithms for fast IP address lookup targeted for general purpose processors has received tremendous attention in recent years due to its low cost im...
Gene Cheung, Steven McCanne
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 6 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust