20 search results - page 1 / 4 » Learning mixtures of product distributions over discrete dom... |
FOCS
2005
IEEE
13 years 10 months ago
2005
IEEE
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
ICALP
2010
Springer
13 years 9 months ago
2010
Springer
A discrete distribution D over Σ1 × · · · × Σn is called (non-uniform) k-wise independent if for any set of k indexes {i1, . . . , ik} and for any z1 ∈ Σi1 , . . . , zk ...
FPL
2003
Springer
13 years 10 months ago
2003
Springer
Distributed Arithmetic techniques are widely used to implement Sum-of-Products computations such as calculations found in multimedia applications like FIR filtering and Discrete Co...
UAI
2001
13 years 6 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...