| Temas |
Cantidad |
| $alpha$-stable process, Stochastic Navier-Stokes equation, Invariant measure | 1 |
| $mathbb{F}$-doubly stochastic Markov chain; intensity;Kolmogorov equations, martingale characterization; sojourn time; predictablerepresentation theorem | 1 |
| 0.345 Attenuation Law; SPC; First Order Forward Difference; Wavelet Transform Modulus-maxima | 1 |
| 05C05; 60F05; 68Q87 | 1 |
| 05C15, 82B20 | 1 |
| 05C80 ; 60F17 ; 60J80 | 1 |
| 05C80; 60J80; 82C20 | 1 |
| 05C80; 60C05; 60F15 | 1 |
| 05C80; 62H15 | 1 |
| 05C80;60C05 | 1 |
| 1.03.01.03-8 | 1 |
| 11N80; 11N37; 11K65; 11N60; 11M45; 60F05 | 1 |
| 15A52, 60F99 | 1 |
| 15A52, 82B44 | 1 |
| 15A52; 60F10 | 1 |
| 15A69; 15B52; 60B20 | 1 |
| 15B52 | 3 |
| 15B52; 60B20,; 46L54; 15A18. | 1 |
| 15B52; 60B20; 46L54 | 1 |
| 15B52; 60F05 ; 60B15; 58J65 | 1 |
| 15B52; 60F15 | 1 |
| 15B52;15A18;60F05 | 1 |
| 2-D stochastic Navier-Stokes equations, Gibbs measures, Kolmogorov operator | 1 |
| 2000 AMS subject classifications: Primary: 60H10; Secondary: 60H07, 65C30 | 1 |
| 26D10, 39B62, 47D07, 60G10, 60J60 | 1 |
| 26D10, 47D07 , 60E15 | 1 |
| 31C25; 60J75 | 1 |
| 34K50; 37H10; 60H10; 60J25; 93E15 | 1 |
| 35P15; 60J65 | 1 |
| 35P20; 28A80; 58G25; 60J35; 60J80 | 1 |
| 35P20; 60B20 | 1 |
| 37H10; 60G90; 60H10 | 1 |
| 37L55; 60H10; 60H15 | 1 |
| 3D model classification; hidden markov model; two-dimensional hidden markov model; expectation maximization (EM) algorithm | 1 |
| 3D reconstruction, elements of exterior orientation, camera calibration, gray level image | 1 |
| 3DoF Model helicopter dynamics, PIDcontrol, Fuzzy control, Hybrid control | 1 |
| 3GPP LTE; Turbo codes; Log-MAP; Taylor series | 1 |
| 46L53; 46L54; 05A18 | 1 |
| 46L54 ; 15A51; 15A52 | 1 |
| 60B20 | 2 |
| 60B20 ; 60F05 | 2 |
| 60C05 | 2 |
| 60D05 | 2 |
| 60E07 | 2 |
| 60F05 | 2 |
| 60F15 | 2 |
| 60G42; 05C80 | 2 |
| 60G44; 60G42 | 2 |
| 60H10 | 2 |
| 60H15 | 4 |
| 60J10 | 4 |
| 60J60 | 2 |
| 60J65 | 3 |
| 60J80 | 3 |
| 60K05; 33E12; 26A33 | 2 |
| 60K35 | 7 |
| 60K35; 82B43 | 3 |
| 60K35; 82C22 | 3 |
| Beijing china-power information technology CO. LTD., China | 2 |
| Brownian motion, parabolic drift, maximum, Airy functions | 2 |
| College of Computer Science and Technology | 2 |
| Computer Engineering | 4 |
| Department of Computer Science and Technology | 2 |
| Department of Electrical Engineering,XinXiang University | 2 |
| Electronics and Computer Engineering | 4 |
| No aplica | 286 |
| School of Power and Mechanical Engineering | 2 |
| Technology; ,information; | 3 |
| Technology; ,information; method | 2 |
| Technology; Electrical, Electronics and Computer Engineering | 3 |
| _empty_ | 1 |
| class size | 5 |
| compensating differentials | 2 |
| compulsory schooling | 3 |
| education | 7 |
| education production function | 4 |
| educational attainment | 2 |
| employment | 2 |
| experiment | 2 |
| hours constraints | 2 |
| instrumental variables | 2 |
| job loss | 2 |
| junior college | 2 |
| labor supply | 8 |
| layoffs | 4 |
| liquidity constraints | 2 |
| litigation | 2 |
| local labor markets | 2 |
| measurement error | 2 |
| minimum wage | 3 |
| returns to education | 2 |
| school quality | 2 |
| strikes | 2 |
| student achievement | 2 |
| unemployment | 2 |
| unemployment insurance | 5 |
| unions | 2 |
| wage differentials | 2 |
| wage structure | 2 |
| wages | 4 |