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» Scalable, updatable predictive models for sequence data
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SAC
2008
ACM
14 years 12 months ago
Collaborative software engineering on large-scale models: requirements and experience in ModelBus
This work presents an approach for realizing Model-Driven software engineering in the distributed and multi-developers context. It particularly focuses on the scalability problems...
Prawee Sriplakich, Xavier Blanc, Marie-Pierre Gerv...
99
Voted
IJCNN
2007
IEEE
15 years 6 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
ICML
2010
IEEE
15 years 1 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
122
Voted
VLSISP
1998
111views more  VLSISP 1998»
15 years 2 days ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
84
Voted
APBC
2004
125views Bioinformatics» more  APBC 2004»
15 years 1 months ago
A Dihedral Angle Database of Short Sub-sequences for Protein Structure Prediction
Protein structure prediction is considered to be the holy grail of bioinformatics. Ab initio and homology modelling are two important groups of methods used in protein structure p...
Saravanan Dayalan, Savitri Bevinakoppa, Heiko Schr...