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» Learning Probabilistic Models of Word Sense Disambiguation
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ISAMI
2010
14 years 7 months ago
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Sérgio A. D. Deusdado, Paulo Carvalho
ISWC
2002
IEEE
15 years 2 months ago
Wearable Robotics as a Behavioral Interface - The Study of the Parasitic Humanoid
The Parasitic Humanoid (PH) is a wearable robot for modeling nonverbal human behavior. This anthropomorphic robot senses the behavior of the wearer and has the internal models to ...
Taro Maeda, Hideyuki Ando, Maki Sugimoto, Junji Wa...
AIED
2009
Springer
15 years 4 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross
ISNN
2009
Springer
15 years 4 months ago
A New Instance-Based Label Ranking Approach Using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier
ACL
2012
13 years 7 days ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku