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ATAL
2011
Springer
13 years 9 months ago
A computational model of achievement motivation for artificial agents
Computational models of motivation are tools that artificial agents can use to autonomously identify, prioritize, and select the goals they will pursue. Previous research has focu...
Kathryn Elizabeth Merrick
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 6 days ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
RE
2005
Springer
15 years 3 months ago
Contextual Risk Analysis for Interview Design
Interviews with stakeholders can be a useful method for identifying user needs and establishing requirements. However, interviews are also problematic. They are time consuming and...
Tira Cohene, Steve M. Easterbrook
HICSS
2003
IEEE
260views Biometrics» more  HICSS 2003»
15 years 3 months ago
Automating Land Management: An Interpretive Analysis of Information Technology Management within the Bureau of Land Management
Given societies’ massive investment in information technology and the potentially catastrophic consequences of IT failures, it is becoming increasingly critical to understand ho...
John C. Beachboard
PERCOM
2004
ACM
15 years 9 months ago
Anatomy of a Graduate Ubiquitous/Pervasive Computing Course
This paper presents the author's experience in designing and teaching a graduate level Ubiquitous Computing (Ubicomp) course at Arizona State University. It identifies some o...
S. K. S. Gupta