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AGENTS
1998
Springer
13 years 9 months 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
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 6 days ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 5 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
ICAC
2006
IEEE
13 years 11 months ago
Autonomic Provisioning of Backend Databases in Dynamic Content Web Servers
— In autonomic provisioning, a resource manager allocates resources to an application, on-demand, e.g., during load spikes. Modelling-based approaches have proved very successful...
Jin Chen, Gokul Soundararajan, Cristiana Amza
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 6 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe