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SDM
2004
SIAM
142views Data Mining» more  SDM 2004»
15 years 8 months ago
Learning to Read Between the Lines: The Aspect Bernoulli Model
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
Ata Kabán, Ella Bingham, T. Hirsimäki
194
Voted
IJCAI
2003
15 years 8 months ago
Sampling Combinatorial Spaces Using Biased Random Walks
For probabilistic reasoning, one often needs to sample from a combinatorial space. For example, one may need to sample uniformly from the space of all satisfying assignments. Can ...
Jordan Erenrich, Bart Selman
NIPS
2003
15 years 8 months ago
Approximability of Probability Distributions
We consider the question of how well a given distribution can be approximated with probabilistic graphical models. We introduce a new parameter, effective treewidth, that captures...
Alina Beygelzimer, Irina Rish
FLAIRS
2000
15 years 8 months ago
Comparing Performance of Neural Networks Applied to a Simplified Recognition Problem
In this note we present and discuss results of experiments comparing the performance of six neural network architectures (back propagation, recurrent network with dampened feedbac...
Marcin Paprzycki, Rick Niess, Jason Thomas, Lenny ...
COLING
1996
15 years 8 months ago
Tagging Spoken Language Using Written Language Statistics
This paper reports on two experiments with a probabilistic part-of-speech tagger, trained on a tagged corpus of written Swedish, being used to tag a corpus of (transcribed) spoken...
Joakim Nivre, Leif Gronqvist, Malin Gustafsson, To...