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ISAMI
2010
15 years 2 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
ICML
2005
IEEE
16 years 5 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
ACISICIS
2007
IEEE
15 years 10 months ago
2D Barcode and Augmented Reality Supported English Learning System
This study aims to construct a 2D barcode and handheld augmented reality supported learning system called HELLO (Handheld English Language Learning Organization), to improve stude...
Tsung-Yu Liu, Tan-Hsu Tan, Yu-Ling Chu
IANDC
2007
81views more  IANDC 2007»
15 years 4 months ago
Some natural conditions on incremental learning
The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requirements s...
Sanjay Jain, Steffen Lange, Sandra Zilles
AIIA
2003
Springer
15 years 8 months ago
Applying Artificial Intelligence to Clinical Guidelines: The GLARE Approach
In this paper, we present GLARE, a domain-independent system for acquiring, representing and executing clinical guidelines. GLARE is characterized by the adoption of Artificial Int...
Paolo Terenziani, Stefania Montani, Alessio Bottri...