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CLOUD
2010
ACM
15 years 10 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 3 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
EWIMT
2004
15 years 6 months ago
Fuzzy Clustering with Pairwise Constraints for Knowledge-Driven Image Categorization
The identification of categories in image databases usually relies on clustering algorithms that only exploit the feature-based similarities between images. The addition of semant...
Nizar Grira, Michel Crucianu, Nozha Boujemaa
EICS
2009
ACM
15 years 9 months ago
StateStream: a developer-centric approach towards unifying interaction models and architecture
Complex and dynamic interaction behaviors in applications such as Virtual Reality (VR) systems are difficult to design and develop. Reasons for this include the complexity and lim...
Gerwin de Haan, Frits H. Post
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
15 years 5 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis