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CHI
2007
ACM
14 years 10 months ago
Toolkit support for developing and deploying sensor-based statistical models of human situations
Sensor-based statistical models promise to support a variety of advances in human-computer interaction, but building applications that use them is currently difficult and potentia...
James Fogarty, Scott E. Hudson
BMCBI
2010
133views more  BMCBI 2010»
13 years 10 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
14 years 2 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 3 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
ICIP
2008
IEEE
14 years 11 months ago
Statistical learning based intra prediction in H.264
In this paper, we improve the performance of intra prediction and simplify mode decision procedure at the same time. For these works, we apply a statistical learning method such a...
Cheolhong An, Truong Q. Nguyen