147 search results - page 5 / 30 » Learning Multi-linear Representations of Distributions for E... |
ACL
2010
13 years 5 months ago
2010
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
ICS
2010
Tsinghua U.
14 years 4 months ago
2010
Tsinghua U.
: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
AAAI
2004
13 years 8 months ago
2004
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
IDA
2005
Springer
14 years 26 days ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
AAAI
2010
13 years 8 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...