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PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 7 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
CORR
2007
Springer
135views Education» more  CORR 2007»
13 years 9 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar
APPROX
2007
Springer
100views Algorithms» more  APPROX 2007»
14 years 4 months ago
Implementing Huge Sparse Random Graphs
Consider a scenario where one desires to simulate the execution of some graph algorithm on random input graphs of huge, perhaps even exponential size. Sampling and storing these h...
Moni Naor, Asaf Nussboim
SIGMOD
2010
ACM
364views Database» more  SIGMOD 2010»
14 years 2 months ago
Optimizing schema-last tuple-store queries in graphd
Current relational databases require that a database schema exist prior to data entry and require manual optimization for best performance. We describe the query optimization tech...
Scott M. Meyer, Jutta Degener, John Giannandrea, B...
ESWS
2010
Springer
14 years 2 months ago
Improving the Performance of Semantic Web Applications with SPARQL Query Caching
The performance of triple stores is one of the major obstacles for the deployment of semantic technologies in many usage scenarios. In particular, Semantic Web applications, which ...
Michael Martin, Jörg Unbehauen, Sören Au...