87 search results - page 8 / 18 » Learning Parameterized State Machine Model for Integration T... |
EMNLP
2008
14 years 11 months ago
2008
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
HICSS
2006
IEEE
15 years 3 months ago
2006
IEEE
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...