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ICML
2006
IEEE
16 years 7 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
ICML
1999
IEEE
16 years 7 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
SIGSOFT
2004
ACM
16 years 7 months ago
Implementing protocols via declarative event patterns
This paper introduces declarative event patterns (DEPs) as a means to implement protocols while improving their traceability, comprehensibility, and maintainability. DEPs are desc...
Robert J. Walker, Kevin Viggers
183
Voted
WWW
2004
ACM
16 years 7 months ago
An xpath-based discourse analysis module for spoken dialogue systems
This paper describes an XPath-based discourse analysis module for Spoken Dialogue Systems that allows the dialogue author to easily manipulate and query both the user input's...
Giuseppe Di Fabbrizio, Charles Lewis
MOBISYS
2009
ACM
16 years 7 months ago
A methodology for extracting temporal properties from sensor network data streams
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Dimitrios Lymberopoulos, Athanasios Bamis, Andreas...
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