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NIPS
2007
15 years 5 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
IADIS
2004
15 years 5 months ago
Adaptive Link Generation for Multiperspective Thinking in Web-Based Exploratory Learning
In order to heighten the effectiveness of web-based exploratory learning, we have designed and implemented adaptive link generation that facilitates multiperspective thinking abou...
Hiroyuki Mitsuhara, Kazuhide Kanenishi, Yoneo Yano
AAAI
1997
15 years 5 months ago
Active Learning with Committees for Text Categorization
In many real-world domains, supervised learning requires a large number of training examples. In this paper, we describe an active learning method that uses a committee of learner...
Ray Liere, Prasad Tadepalli
COLING
1996
15 years 5 months ago
Learning dialog act processing
In this paper we describe a new approach for learning dialog act processing. In this approach we integrate a symbolic semantic segmentation parse,: with a learning dialog act netw...
Stefan Wermter, Matthias Lochel
CIIA
2009
15 years 5 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali