The following pages link to DBLP publication ID (P1635):
Displaying 50 items.
- Modeling innate immune response to early Mycobacterium infection (Q1929608) (← links)
- Spreading out muscle mass within a Hill-type model: a computer simulation study (Q1929622) (← links)
- An iterative method for problems with multiscale conductivity (Q1929627) (← links)
- Discrete-state stochastic models of calcium-regulated calcium influx and subspace dynamics are not well-approximated by ODEs that neglect concentration fluctuations (Q1929628) (← links)
- Coronary artery center-line extraction using second order local features (Q1929636) (← links)
- Two-dimensional matrix algorithm using detrended fluctuation analysis to distinguish Burkitt and diffuse large B-cell lymphoma (Q1929639) (← links)
- Multivoxel pattern analysis for fMRI data: a review (Q1929650) (← links)
- A computationally efficient, exploratory approach to brain connectivity incorporating false discovery rate control, a priori knowledge, and group inference (Q1929654) (← links)
- Efficient identification of transcription factor binding sites with a graph theoretic approach (Q1929667) (← links)
- A boundedness result for the direct heuristic dynamic programming (Q1929722) (← links)
- Fault-tolerant nonlinear adaptive flight control using sliding mode online learning (Q1929729) (← links)
- Monounireducible nonhomogeneous continuous time semi-Markov processes applied to rating migration models (Q1929893) (← links)
- Comparison of some tests of fit for the inverse Gaussian distribution (Q1929894) (← links)
- Restricted coherent risk measures and actuarial solvency (Q1929899) (← links)
- Operational risks in financial sectors (Q1929901) (← links)
- An optimal returned policy for a reverse logistics inventory model with backorders (Q1929903) (← links)
- A two-phase data envelopment analysis model for portfolio selection (Q1929910) (← links)
- Uniform estimate of the finite-time ruin probability for all times in a generalized compound renewal risk model (Q1929911) (← links)
- Complexity and algorithms for Euler characteristic of simplicial complexes (Q1930164) (← links)
- Cubic vertex-transitive graphs on up to 1280 vertices (Q1930184) (← links)
- Group analysis of the modified generalized Vakhnenko equation (Q1931383) (← links)
- Efficient inference for autoregressive coefficients in the presence of trends (Q1931850) (← links)
- An augmented CRTRL for complex-valued recurrent neural networks (Q1931958) (← links)
- Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays (Q1931959) (← links)
- CONFIGR: a vision-based model for long-range figure completion (Q1931969) (← links)
- The process of learning in neural net models with Poisson and Gauss connectivities (Q1931972) (← links)
- Sequential Bayesian kernel modelling with non-Gaussian noise (Q1931975) (← links)
- Relation between weight size and degree of over-fitting in neural network regression (Q1931976) (← links)
- Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks (Q1931977) (← links)
- On the study of cellular nonlinear networks via amplitude and phase dynamics (Q1931986) (← links)
- A regularized kernel CCA contrast function for ICA (Q1931993) (← links)
- An axiomatic approach to intrinsic dimension of a dataset (Q1931997) (← links)
- Two \(k\)-winners-take-all networks with discontinuous activation functions (Q1932004) (← links)
- New support vector-based design method for binary hierarchical classifiers for multi-class classification problems (Q1932013) (← links)
- Neural network approach for robust and fast calculation of physical processes in numerical environmental models: compound parameterization with a quality control of larger errors (Q1932017) (← links)
- A model of contour extraction including multiple scales, flexible inhibition and attention (Q1932021) (← links)
- A theoretical study of multisensory integration in the superior colliculus by a neural network model (Q1932030) (← links)
- Iterative principles of recognition in probabilistic neural networks (Q1932032) (← links)
- Two forms of immediate reward reinforcement learning for exploratory data analysis (Q1932033) (← links)
- FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization (Q1932035) (← links)
- Using ANNs to predict a subject's response based on EEG traces (Q1932042) (← links)
- Learning transform invariant object recognition in the visual system with multiple stimuli present during training (Q1932043) (← links)
- A computational model of perceptual grouping and 3D surface completion in the mime effect (Q1932050) (← links)
- Boundary conditions and phase transitions in neural networks. Theoretical results (Q1932058) (← links)
- Asymptotic behavior of exchange ratio in exchange Monte Carlo method (Q1932060) (← links)
- dNSP: a biologically inspired dynamic neural network approach to signal processing (Q1932066) (← links)
- Greedy rule generation from discrete data and its use in neural network rule extraction (Q1932069) (← links)
- Enhanced automatic artifact detection based on independent component analysis and Rényi's entropy (Q1932071) (← links)
- Energy minimization in the nonlinear dynamic recurrent associative memory (Q1932072) (← links)
- Variational Bayesian least squares: an application to brain-machine interface data (Q1932079) (← links)
