Sciweavers

467 search results - page 59 / 94
» Comparing Representations for Learner Models in Interactive ...
Sort
View
ICML
2004
IEEE
14 years 9 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
ISBMS
2010
Springer
14 years 3 months ago
Physics-Based Modeling of the Pregnant Woman
High quality obstetric images have become readily available with fast magnetic resonance imaging protocols or new 3D ultrasound probes. These obstetric images provide detailed info...
Juan Pablo de la Plata Alcalde, Lazar Bibin, J&eac...
JMLR
2010
112views more  JMLR 2010»
13 years 3 months ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ICML
2009
IEEE
14 years 9 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ICCAD
2008
IEEE
125views Hardware» more  ICCAD 2008»
14 years 5 months ago
A succinct memory model for automated design debugging
— In today’s complex SoC designs, verification and debugging are becoming ever more crucial and increasingly timeconsuming tasks. The prevalence of embedded memories adds to t...
Brian Keng, Hratch Mangassarian, Andreas G. Veneri...