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» Active Semi-Supervised Learning using Submodular Functions
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WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
12 years 3 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
FUZZY
2004
Springer
125views Fuzzy Logic» more  FUZZY 2004»
14 years 27 days ago
A Feedforward Neural Network based on Multi-Valued Neurons
A feedforward neural network based on multi-valued neurons is considered in the paper. It is shown that using a traditional feedforward architecture and a high functionality multi-...
Igor N. Aizenberg, Claudio Moraga, Dmitriy Paliy
IJCAI
2007
13 years 9 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
IEEEVAST
2010
13 years 2 months ago
ALIDA: Using machine learning for intent discernment in visual analytics interfaces
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
Tera Marie Green, Ross Maciejewski, Steve DiPaola
ITS
2010
Springer
159views Multimedia» more  ITS 2010»
14 years 8 days ago
Optimizing Story-Based Learning: An Investigation of Student Narrative Profiles
Narrative-centered learning environments offer significant potential for creating effective learning experiences in which students actively participate in engaging story-based prob...
Seung Y. Lee, Bradford W. Mott, James C. Lester