Projection pursuit regression (PPR) can be used to estimate a smooth function of several variables from noisy and scattered data. The estimate is a sum of smoothed one-dimensional projections of the variables. This paper discusses an extension of PPR to exponential family distributions, called generalized projection pursuit regression (GPPR). The proposed model allows multiple responses and non...

In this article we present a generalized version of the Cross Approximation for 3d-ten-sors. The given tensor a ∈ R n×n×n is represented as a matrix of vectors and 2d adaptive Cross Approximation is applied in a nested way to get the tensor decomposition. The main focus lies on theoretical issues of the construction such as the desired interpolation property or the explicit formulas for the vec...

Cross-domain classi cation for speech understanding is an interesting research problem because of the need for portable solutions in the design for spoken dialogue systems. In this paper, a twotier classi er is proposed for speech understanding. The rst tier consists of domain independent dialogue acts while the second tier consists of application actions that are domain speci c. A maximum like...

De-noising algorithms based on wavelet thresholding replace small wavelet coeecients by zero and keep or shrink the coeecients with absolute value above the threshold. The optimal threshold minimizes the error of the result as compared to the unknown, exact data. To estimate this optimal threshold, we use Generalized Cross Validation. This procedure is fast and does not require an estimation fo...

This paper presents a new framework for analyzing cross-frequency coupling in multichannel electrophysiological recordings. The generalized eigendecomposition-based cross-frequency coupling framework (gedCFC) is inspired by source-separation algorithms combined with dynamics of mesoscopic neurophysiological processes. It is unaffected by factors that confound traditional CFC methods-such as non...

Generalized random processes by various types of continuity are considered and classified as generalized random processes (GRPs) of type (I) and (II). Structure theorems for Hilbert space valued generalized random processes are obtained: Series expansion theorems for GRPs (I) considered as elements of the spaces L(A, S(H)−1) are derived, and structure representation theorems for GRPs (II) on K{...

Noisy data are often fitted using a smoothing parameter, controling the importance of two objectives that are opposite to a certain extent. One of these two is smoothness and the other is closeness to the input data. The optimal value of this paramater minimizes the error of the result (as compared to the unknown, exact data), usually expressed in the L2 norm. This optimum cannot be found exact...

introduction: the aim of this study was to compare in a clinical sample that subjects with obsessive-compulsive disorder and generalized anxiety disorder on certain task of executive functioning. method: the clinical characteristics and neuropsychological performance of adults with ocd (n=22), fulfilling dsm-iv criteria for ocd and control groups including generalized anxiety disorder (gad) and...

This paper describes an approach to detect out-of-vocabulary words in spontaneous speech using a language model built on semantic categories and a new type of generalized word models consisting of a mixture of specific and general acoustic units. We demonstrate the construction of the generalized word models as replacements for surnames in a German spontaneous travel planning task GSST [1]. We ...

The scaling in σ γ * p (W 2 , Q 2) cross sections (for Q 2 /W 2 << 1) in terms of the scaling variable η = (Q 2 + m 2 0)/Λ 2 (W 2) is interpreted in the generalized vector dominance/color-dipole picture (GVD/CDP). The quantity Λ 2 (W 2) is identified as the average gluon transverse momentum absorbed by the q ¯ q state, < l 2 ⊥ >= (1/6)Λ 2 (W 2). At any Q 2 , for W 2 → ∞, the cross sections for ...