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ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
15 years 3 months ago
Finding Predictive Runs with LAPS
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
Suhrid Balakrishnan, David Madigan
HPDC
2006
IEEE
15 years 3 months ago
Resource Availability Prediction in Fine-Grained Cycle Sharing Systems
Fine-Grained Cycle Sharing (FGCS) systems aim at utilizing the large amount of computational resources available on the Internet. In FGCS, host computers allow guest jobs to utili...
Xiaojuan Ren, Seyong Lee, Rudolf Eigenmann, Saurab...
WOWMOM
2006
ACM
137views Multimedia» more  WOWMOM 2006»
15 years 3 months ago
Evaluating Context Information Predictability for Autonomic Communication
Delay tolerant and mobile ad hoc networks, present considerable challenges to the development of protocols and systems. In particular, the challenge of being able to cope with the...
Mirco Musolesi, Cecilia Mascolo
ANOR
2008
123views more  ANOR 2008»
14 years 9 months ago
An approach to predictive-reactive scheduling of parallel machines subject to disruptions
: In this paper, a new predictive-reactive approach to a parallel machine scheduling problem in the presence of uncertain disruptions is presented. The approach developed is based ...
Alejandra Duenas, Dobrila Petrovic