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» Intelligent Selection of Language Model Training Data
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IROS
2006
IEEE
142views Robotics» more  IROS 2006»
15 years 10 months ago
Using Hidden Markov Models to Generate Natural Humanoid Movement
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Junghyun Kwon, Frank C. Park
ACL
1998
15 years 5 months ago
Combining Stochastic and Rule-Based Methods for Disambiguation in Agglutinative Languages
In this paper we present the results of the combination of stochastic and rule-based disambiguation methods applied to Basque languagel. The methods we have used in disambiguation...
Nerea Ezeiza, Iñaki Alegria, Jose Maria Arr...
INTERSPEECH
2010
14 years 11 months ago
The RWTH 2009 quaero ASR evaluation system for English and German
In this work, the RWTH automatic speech recognition systems for English and German for the second Quaero evaluation campaign 2009 are presented. The systems are designed to transc...
Markus Nußbaum-Thom, Simon Wiesler, Martin S...
ICML
2009
IEEE
16 years 5 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 2 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim