Results 191 to 200 of about 162,209 (248)
scEVE: a single-cell RNA-seq ensemble clustering algorithm capitalizing on the differences of predictions between multiple clustering methods. [PDF]
Asloudj Y, Mougin F, Thébault P.
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Variational adaptive Gaussian approximation filter for nonlinear systems with generalized unknown disturbances. [PDF]
Qin Y, Lv J, Li S, Hou Y.
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Integrated GRM-based efficient multi-performance prediction method for reconfigurable Fabry-Perot antennas. [PDF]
Huang Y +6 more
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Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization. [PDF]
Hashem I +3 more
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Black-box data: a new paradigm for biomedicine in the AI era. [PDF]
Naef L, Bronstein M.
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Software: Practice and Experience, 1977
AbstractA programming situation different from an exit on a condition, but where the effect of a GOTO statement is still necessary, is examined. A notation for expressing the desired effect and s mechanism for implementation are proposed.
B. E. Carpenter, R. W. Dohan, K. Hopper
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AbstractA programming situation different from an exit on a condition, but where the effect of a GOTO statement is still necessary, is examined. A notation for expressing the desired effect and s mechanism for implementation are proposed.
B. E. Carpenter, R. W. Dohan, K. Hopper
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Statistica Neerlandica, 1978
AbstractThe purpose of this paper is to give an exposition of the theory behind the Kalman filter and its application to the so‐called LQG‐problem. This problem is concerned with the stochastic optimal control of a linear system with respect to a quadratic cost in the presence Gaussian disturbances.
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AbstractThe purpose of this paper is to give an exposition of the theory behind the Kalman filter and its application to the so‐called LQG‐problem. This problem is concerned with the stochastic optimal control of a linear system with respect to a quadratic cost in the presence Gaussian disturbances.
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