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ECML
2007
Springer
14 years 1 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
ACL
2006
13 years 9 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
BC
2005
106views more  BC 2005»
13 years 7 months ago
Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions
Abstract We model the dynamical behavior of the neuropil, the densely interconnected neural tissue in the cortex, using neuropercolation approach. Neuropercolation generalizes phas...
Robert Kozma, Marko Puljic, Paul Balister, B&eacut...
DSVIS
2003
Springer
14 years 29 days ago
Applying Extended Finite State Machines in Software Testing of Interactive Systems
Model Based Testing (MBT) is a functional testing technique that makes use of information from behavioral models of the software to carry out the testing task. This technique has b...
Marcelo Fantinato, Mario Jino
CG
2007
Springer
13 years 7 months ago
Interactive function-based shape modelling
In this paper we address interactive shape modelling of geometric shapes defined by mathematical functions. We introduce mathematical operators that implement modifications of g...
Konstantin Levinski, Alexei Sourin