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» Machine learning in sedimentation modelling
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KBSE
2007
IEEE
15 years 11 months ago
The business case for automated software engineering
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...
Tim Menzies, Oussama El-Rawas, Jairus Hihn, Martin...
ECTEL
2007
Springer
15 years 11 months ago
Reasoning-Based Curriculum Sequencing and Validation: Integration in a Service-Oriented Architecture
Abstract. We present a service-oriented personalization system, set in an educational framework, based on a semantic annotation of courses, given at a knowledge level (what the cou...
Matteo Baldoni, Cristina Baroglio, Ingo Brunkhorst...
SIGIR
2010
ACM
15 years 8 months ago
How good is a span of terms?: exploiting proximity to improve web retrieval
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
Krysta Marie Svore, Pallika H. Kanani, Nazan Khan
AVSS
2006
IEEE
15 years 8 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
BMCBI
2006
118views more  BMCBI 2006»
15 years 5 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...