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» Maximum likelihood analysis of algorithms and data structure...
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114
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NIPS
1994
15 years 5 months ago
An Input Output HMM Architecture
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
Yoshua Bengio, Paolo Frasconi
120
Voted
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
15 years 9 months ago
Using an autonomous cube for basic navigation and input
This paper presents a low-cost and practical approach to achieve basic input using a tactile cube-shaped object, augmented with a set of sensors, processor, batteries and wireless...
Kristof Van Laerhoven, Nicolas Villar, Albrecht Sc...
126
Voted
AAAI
2006
15 years 5 months ago
Inexact Matching of Ontology Graphs Using Expectation-Maximization
We present a new method for mapping ontology schemas that address similar domains. The problem of ontology mapping is crucial since we are witnessing a decentralized development a...
Prashant Doshi, Christopher Thomas
147
Voted
NIPS
2008
15 years 5 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
CSDA
2007
100views more  CSDA 2007»
15 years 3 months ago
Estimation of fractional integration in the presence of data noise
The paper presents a comparative study on the performance of commonly used estimators of the fractional order of integration when data is contaminated by noise. In particular, meas...
Niels Haldrup, Morten Ørregaard Nielsen