394 search results - page 7 / 79 » A Study of Empirical Learning for an Involved Problem |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
COLT
2000
Springer
15 years 1 months ago
2000
Springer
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
69
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
97
Voted
DAGM
2008
Springer
14 years 11 months ago
2008
Springer
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
PROFES
2007
Springer
15 years 3 months ago
2007
Springer
We present the application of the process workshop method to define revised work processes in software development companies. Through two empirical action research studies, we stud...