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» Estimating Likelihoods for Topic Models
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FGR
2008
IEEE
156views Biometrics» more  FGR 2008»
13 years 11 months ago
Modelling human perception of static facial expressions
Data collected through a recent web-based survey show that the perception (i.e. labeling) of a human facial expression by a human observer is a subjective process, which results i...
Matteo Sorci, Jean-Philippe Thiran, J. Cruz, T. Ro...
RSS
2007
159views Robotics» more  RSS 2007»
13 years 11 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
SIGIR
2006
ACM
14 years 3 months ago
Lightening the load of document smoothing for better language modeling retrieval
We hypothesized that language modeling retrieval would improve if we reduced the need for document smoothing to provide an inverse document frequency (IDF) like effect. We create...
Mark D. Smucker, James Allan
ESWA
2006
86views more  ESWA 2006»
13 years 10 months ago
Modeling consumer acceptance probabilities
This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to choose the optimal set of parameters f...
L. C. Thomas, Ki Mun Jung, Steve D. Thomas, Y. Wu
SUM
2009
Springer
14 years 4 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti