Sciweavers

277 search results - page 3 / 56
» Using minimum description length for process mining
Sort
View
TIT
1998
123views more  TIT 1998»
13 years 5 months ago
The Minimum Description Length Principle in Coding and Modeling
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
Andrew R. Barron, Jorma Rissanen, Bin Yu
JMLR
2011
192views more  JMLR 2011»
13 years 22 days ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
ICIP
2000
IEEE
14 years 7 months ago
Topology-Independent Region Tracking with Level Sets
This paper presents a new approach to the tracking of regions in an image sequence. Unlike most other methods, the proposed approach can handle topology changes, i.e., regions may...
Abdol-Reza Mansouri, Antoine Olivier, Janusz Konra...
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
13 years 11 months ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila
VLDB
1998
ACM
100views Database» more  VLDB 1998»
13 years 10 months ago
Mining Surprising Patterns Using Temporal Description Length
Soumen Chakrabarti, Sunita Sarawagi, Byron Dom