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» Hilbert Space Embeddings of Hidden Markov Models
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IAT
2008
IEEE
13 years 5 months ago
nAble Adaptive Scaffolding Agent - Intelligent Support for Novices
Scaffolding techniques allow human instructors to support novice learners in critical early stages, and to remove that support as expertise grows. This paper describes nAble, an a...
Joseph MacInnes, Stephanie Santosa, Nathan Kronenf...
JMLR
2002
133views more  JMLR 2002»
13 years 5 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 3 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
JCB
2006
123views more  JCB 2006»
13 years 5 months ago
Reconstructing Ancestral Haplotypes with a Dictionary Model
We propose a dictionary model for haplotypes. According to the model, a haplotype is constructed by randomly concatenating haplotype segments from a given dictionary of segments. ...
Kristin L. Ayers, Chiara Sabatti, Kenneth Lange
ICASSP
2011
IEEE
12 years 9 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes