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AAAI
2008
15 years 9 months ago
Learning and Inference with Constraints
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
CSREAESA
2008
15 years 8 months ago
Real-time Embedded Architecture for Advanced Service Robots
In most advanced real-time control applications such as service robots, the tasks have different criticality, flexible timing constraints and variable execution time. For instance...
David Ramada, Carlos Domínguez, Houcine Has...
SPLC
2008
15 years 8 months ago
Towards Separation of Concerns in Model Transformation Workflows
Model-driven software product lines are an emerging topic in research and industry, as they promise higher development speed and easier adaptability to customer needs. The generat...
Christoph Elsner, Daniel Lohmann, Wolfgang Schr&ou...
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
COMCOM
2006
148views more  COMCOM 2006»
15 years 6 months ago
An adaptive bluetooth packet selection and scheduling scheme in interference environments
Bluetooth is a new technology for Wireless Personal Area Networks (WPANs). It intends to eliminate the need of wires and connectors between a variety of devices, like PCs and thei...
Chen-Han Shih, Kuochen Wang, Hung-Cheng Shih