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EMNLP
2011
8 years 10 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
CORR
2010
Springer
127views Education» more  CORR 2010»
9 years 9 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
NECO
1998
168views more  NECO 1998»
9 years 10 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
SIMPRA
2008
125views more  SIMPRA 2008»
9 years 10 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic
IJCAI
1989
9 years 11 months ago
Perturbation Analysis with Qualitative Models
Perturbation analysis deals with the relation­ ships between small changes in a system's inputs or model and changes in its outputs. Reverse simulation is of particular inte...
Renato de Mori, Robert Prager
UAI
2001
9 years 12 months ago
Instrumentality Tests Revisited
An instrument is a random variable that is uncorrelated with certain (unobserved) error terms and, thus, allows the identification of structural parameters in linear models. In no...
Blai Bonet
AVI
2004
9 years 12 months ago
ValueCharts: analyzing linear models expressing preferences and evaluations
In this paper we propose ValueCharts, a set of visualizations and interactive techniques intended to support decision-makers in inspecting linear models of preferences and evaluat...
Giuseppe Carenini, John Loyd
ECCV
2006
Springer
10 years 2 months ago
Spatial Segmentation of Temporal Texture Using Mixture Linear Models
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...
Lee Cooper, Jun Liu, Kun Huang
DAGM
2006
Springer
10 years 2 months ago
Diffusion-Like Reconstruction Schemes from Linear Data Models
In this paper we extend anisotropic diffusion with a diffusion tensor to be applicable to data that is well modeled by linear models. We focus on its variational theory, and invest...
Hanno Scharr
HICSS
2003
IEEE
98views Biometrics» more  HICSS 2003»
10 years 3 months ago
On the Limits of Bottom-Up Computer Simulation: Towards a Nonlinear Modeling Culture
1 In the complexity and simulation communities there is growing support for the use of bottom-up computer-based simulation in the analysis of complex systems. The presumption is th...
Kurt A. Richardson
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