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ICC
2007
IEEE
14 years 2 months ago
A Low-Complexity Impulse Radio Receiver based upon Gaussian Mixtures
Abstract— Ultra wide band (UWB) impulse radio (IR) technology calls for robust and low-complexity receiver techniques. State-of-the-art proposals are both coherent ML receivers, ...
Tomaso Erseghe
ROCAI
2004
Springer
14 years 1 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
WEBI
2007
Springer
14 years 2 months ago
Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts
Collaborative filtering (CF) is one of the most successful approaches for recommendation. In this paper, we propose two hybrid CF algorithms, sequential mixture CF and joint mixtu...
Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaa...
NECO
2000
88views more  NECO 2000»
13 years 7 months ago
Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable, i.e., different values of the mixture parameters can correspond to exactly the...
Miguel Á. Carreira-Perpiñán, ...
ICASSP
2009
IEEE
14 years 2 months ago
A generalized family of parameter estimation techniques
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framewor...
Dimitri Kanevsky, Tara N. Sainath, Bhuvana Ramabha...