403 search results - page 37 / 81 » Accounting for input model and parameter uncertainty in simu... |
NIPS
2007
13 years 10 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
SC
2005
ACM
14 years 2 months ago
2005
ACM
In contrast to traditional terascale simulations that have known, fixed data inputs, dynamic data-driven (DDD) applications are characterized by unknown data and informed by dynam...
ICASSP
2011
IEEE
13 years 14 days ago
2011
IEEE
This paper presents a very low bit-rate F0 coding technique for speaker-dependent phonetic vocoder based on hidden Markov model (HMM) using quantized F0 context. In the proposed t...
WSC
2008
13 years 11 months ago
2008
Demand forecast plays a critical role to determine capital investment for capacity planning. Given the involved uncertainties and long lead-time for capacity expansion, semiconduc...
CEC
2007
IEEE
13 years 10 months ago
2007
IEEE
— Cultured natural cortical neurons form functional networks through a complex set of developmental steps during the first weeks in vitro. The dynamic behavior of the network in...