Scaling Up Machine Learning, the Tutorial, KDD 2011 (Part II.b Graphical models)
Computing with adversarial noise Aram Harrow (UW -> MIT) Matt Hastings (Duke/MSR) Anup Rao (UW)
Scaling Up Graphical Model Inference. View observed data and unobserved properties as random variables Graphical Models: compact graph-based encoding.
Designing an Efficient Partitioning Algorithm for Grid Environments with Application to N-Body Problems Daniel J. Harvey Department of Computer Science.
Practical Partition-Based Theorem Proving for Large Knowledge Bases Bill MacCartney (Stanford KSL) Sheila A. McIlraith (Stanford KSL) Eyal Amir (UC Berkeley)
Performance of a Heterogeneous Grid Partitioner for N-body Applications Daniel J. Harvey Department of Computer Science Southern Oregon University E-mail:
Performance of a Heterogeneous Grid Partitioner for N-body Applications
Daniel J. Harvey Department of Computer Science Southern Oregon University
