124 search results - page 2 / 25 » Parameter Space Exploration of Agent-Based Models |
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
ASPLOS
2006
ACM
13 years 9 months ago
2006
ACM
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design parameters. Efficiently exploring exponential-size desig...
ACL
1994
13 years 6 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
EWRL
2008
13 years 7 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
ISCAS
2008
IEEE
13 years 11 months ago
2008
IEEE
— This paper proposes a multiple-divide technique using by-2, by-3, and by-4 frequency dividers to realize a lower phase-noise LC-VCO, and explores the design space of low-phasen...