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» Hedging predictions in machine learning
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IMCSIT
2010
15 years 2 months ago
Semi-Automatic Extension of Morphological Lexica
Abstract--We present a tool that facilitates the efficient extension of morphological lexica. The tool exploits information from a morphological lexicon, a morphological grammar an...
Tobias Kaufmann, Beat Pfister
AAAI
2006
15 years 6 months ago
Fast Hierarchical Goal Schema Recognition
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Nate Blaylock, James F. Allen
206
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BMCBI
2010
150views more  BMCBI 2010»
15 years 4 months ago
Automatic structure classification of small proteins using random forest
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
Pooja Jain, Jonathan D. Hirst
EPIA
2003
Springer
15 years 9 months ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
NIPS
2007
15 years 6 months ago
Stability Bounds for Non-i.i.d. Processes
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
Mehryar Mohri, Afshin Rostamizadeh