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AAAI
2011
12 years 7 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
NAACL
2003
13 years 9 months ago
Factored Language Models and Generalized Parallel Backoff
We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-drive...
Jeff Bilmes, Katrin Kirchhoff
INTETAIN
2005
Springer
14 years 1 months ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür
ITIIS
2010
131views more  ITIIS 2010»
13 years 6 months ago
The Analysis of Random Propagating Worms using Network Bandwidth
There is a well-defined propagation model, named the random constant spread (RCS) model, which explains worms that spread their clones with a random scanning strategy. This model ...
Kwangsun Ko, Hyun-Su Jang, Byuong Woon Park, Young...
EVOW
2008
Springer
13 years 9 months ago
A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification
Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...
Amin Assareh, Mohammad Hassan Moradi, L. Gwenn Vol...