2878 search results - page 170 / 576 » Learning the Common Structure of Data |
128
click to vote
SCAM
2008
IEEE
15 years 10 months ago
2008
IEEE
Data-flow analysis is a common technique to gather program information for use in transformations such as register allocation, dead-code elimination, common subexpression elimina...
141
click to vote
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
141
click to vote
IDA
2007
Springer
15 years 3 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
172
click to vote
KDD
2012
ACM
13 years 6 months ago
2012
ACM
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
145
click to vote
NIPS
1994
15 years 5 months ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...