636 search results - page 42 / 128 » Measuring Complexity of Intelligent Machines |
77
Voted
CEC
2007
IEEE
15 years 1 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
ECAI
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
SIGCSE
2005
ACM
15 years 3 months ago
2005
ACM
Many instructors use program runtimes to illustrate and reinforce algorithm complexity concepts. Hardware, operating system and compilers have historically influenced runtime resu...