403 search results - page 37 / 81 » Accounting for input model and parameter uncertainty in simu... |
104
Voted
NIPS
2007
15 years 1 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...
124
Voted
SC
2005
ACM
15 years 6 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...
80
Voted
ICASSP
2011
IEEE
14 years 4 months 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...
97
Voted
WSC
2008
15 years 2 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...
92
Voted
CEC
2007
IEEE
15 years 2 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...