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ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 10 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
ICONIP
2007
15 years 5 months ago
Analog CMOS Circuits Implementing Neural Segmentation Model Based on Symmetric STDP Learning
We proposed a neural segmentation model that is suitable for implementation in analog VLSIs using conventional CMOS technology. The model consists of neural oscillators mutually co...
Gessyca Maria Tovar, Eric Shun Fukuda, Tetsuya Asa...
PGLDB
2003
166views Database» more  PGLDB 2003»
15 years 5 months ago
ROSA: A Data Model and Query Language for e-Learning Objects
Learning Content Management Systems (LCMS) supports e-learning applications with storage and efficient access for e-learning objects (LO)s. ROSA is a LCMS built as a semantic laye...
Fabio Porto, Ana Maria de Carvalho Moura, Adriana ...
ICANN
2009
Springer
15 years 1 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
CVPR
2009
IEEE
16 years 11 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen