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ESANN
2003
15 years 7 months ago
Mathematical Aspects of Neural Networks
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
Barbara Hammer, Thomas Villmann
NAACL
2004
15 years 7 months ago
Exponential Priors for Maximum Entropy Models
Maximum entropy models are a common modeling technique, but prone to overfitting. We show that using an exponential distribution as a prior leads to bounded absolute discounting b...
Joshua Goodman
NAACL
2004
15 years 7 months ago
Training Tree Transducers
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for grante...
Jonathan Graehl, Kevin Knight
NIPS
2004
15 years 7 months ago
Hierarchical Clustering of a Mixture Model
In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the component structure of the original mod...
Jacob Goldberger, Sam T. Roweis
PARMA
2004
106views Database» more  PARMA 2004»
15 years 7 months ago
The Notion of Similarity in Data and Pattern Spaces
In the recent years, our ability of collecting information rapidly increases and huge databases that change over time in a high frequency have been developed. On the other hand, th...
Irene Ntoutsi