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CIDM
2009
IEEE
14 years 2 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
ICASSP
2010
IEEE
13 years 7 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
ICML
2008
IEEE
14 years 8 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
MM
2004
ACM
170views Multimedia» more  MM 2004»
14 years 1 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
AIED
2005
Springer
14 years 1 months ago
Generating Reports of Graphical Modelling Processes for Authoring and Presentation
Today's computer supported modelling environments could provide much more information about the users’ actions and problem solving processes than they usually store for late...
Lars Bollen