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NIPS
2003
15 years 8 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
16 years 7 months ago
Reconstructing chemical reaction networks: data mining meets system identification
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Yong Ju Cho, Naren Ramakrishnan, Yang Cao
ACII
2005
Springer
16 years 13 days ago
Gesture-Based Affective Computing on Motion Capture Data
Abstract. This paper presents research using full body skeletal movements captured using video-based sensor technology developed by Vicon Motion Systems, to train a machine to iden...
Asha Kapur, Ajay Kapur, Naznin Virji-Babul, George...
SIGIR
1999
ACM
15 years 11 months ago
Relevance Feedback Retrieval of Time Series Data
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
Eamonn J. Keogh, Michael J. Pazzani
ICMLA
2008
15 years 8 months ago
Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...