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» Learning to Predict User Operations for Adaptive Scheduling
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AAAI
2004
13 years 9 months ago
CMRadar: A Personal Assistant Agent for Calendar Management
Abstract. Personal assistant agents have long promised to automate routine everyday tasks in order to reduce the cognitive load on humans. One such routine task is the management o...
Pragnesh Jay Modi, Manuela M. Veloso, Stephen F. S...
AGENTS
1998
Springer
14 years 20 days ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ACSC
2004
IEEE
14 years 6 days ago
Lossless Image Compression Using Pixel Reordering
Lossless image compression techniques typically consider images to be a sequence of pixels in row major order. The processing of each pixel consists of two separate operations. Th...
Michael Ciavarella, Alistair Moffat
CIKM
2008
Springer
13 years 10 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen
ASPLOS
2008
ACM
13 years 10 months ago
Hardware counter driven on-the-fly request signatures
Today's processors provide a rich source of statistical information on application execution through hardware counters. In this paper, we explore the utilization of these sta...
Kai Shen, Ming Zhong, Sandhya Dwarkadas, Chuanpeng...