Improvement of speech recognition by nonlinear noise reduction

Improvement of the Kalman Filter Fit of the ZEUS experiment

Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization

Improving Application of Bayesian Neural Networks to Discriminate Neutrino Events from Backgrounds in Reactor Neutrino Experiments

Improving the consensus performance via predictive mechanisms

Incorporating Nuisance Parameters in Likelihoods for Multisource Spectra

Incorporation of the statistical uncertainty in the background estimate into the upper limit on the signal

Increment definitions for scale dependent analysis of stochastic data

Inductive Logic: From Data Analysis to Experimental Design

Infectious Default Model with Recovery and Continuous Limit

Inference for bounded parameters

Inference in particle tracking experiments by passing messages between images

Inference of a nonlinear stochastic model of the cardiorespiratory interaction

Inference of entropies of discrete random variables with unknown cardinalities

Inference of stochastic nonlinear oscillators with applications to physiological problems

Inferring the success parameter p of a binomial model from small samples affected by background

Influence of solar magnetic activity on the North American temperature record

Influence of the bin-to-bin and inside bin correlations on measured quantities

Information and Covariance Matrices for Multivariate Burr III and Logistic distributions

Information and Entropy