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NIPS
2003
13 years 10 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
AUTOMATICA
2005
155views more  AUTOMATICA 2005»
13 years 8 months ago
Identification of MIMO Hammerstein models using least squares support vector machines
This paper studies a method for the identification of Hammerstein models based on Least Squares Support Vector Machines (LS-SVMs). The technique allows for the determination of th...
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Su...
NAACL
2010
13 years 6 months ago
Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions
We describe tree edit models for representing sequences of tree transformations involving complex reordering phenomena and demonstrate that they offer a simple, intuitive, and eff...
Michael Heilman, Noah A. Smith
SP
1999
IEEE
194views Security Privacy» more  SP 1999»
14 years 1 months ago
Detecting Intrusions using System Calls: Alternative Data Models
Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
Christina Warrender, Stephanie Forrest, Barak A. P...
RCIS
2010
13 years 6 months ago
Using Software Metrics in the Evaluation of a Conceptual Component Model
Every interactive system has a functional part and an interactive part. However the software engineering and the human-computer-interaction communities work separately in terms of ...
Eric Ceret, Sophie Dupuy-Chessa, Guillaume Godet-B...