Sciweavers

437 search results - page 17 / 88
» Using Inverse Resolution to Learn Relations from Experiments
Sort
View
DSS
2007
127views more  DSS 2007»
14 years 9 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
ECML
2007
Springer
15 years 3 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
TOG
2010
129views more  TOG 2010»
14 years 4 months ago
Optical computing for fast light transport analysis
We present a general framework for analyzing the transport matrix of a real-world scene at full resolution, without capturing many photos. The key idea is to use projectors and ca...
Matthew O'Toole, Kiriakos N. Kutulakos
82
Voted
JAIR
2006
137views more  JAIR 2006»
14 years 9 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
AIPS
2008
14 years 12 months ago
Learning Relational Decision Trees for Guiding Heuristic Planning
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...
Tomás de la Rosa, Sergio Jiménez, Da...