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AMC
2006
67views more  AMC 2006»
15 years 3 months ago
A general probabilistic model of the PCR process
Earlier work by Saha et al. rigorously derived a general probabilistic model for the PCR process that includes as a special case the Velikanov-Kapral model where all nucleotide re...
Nilanjan Saha, Layne T. Watson, Karen Kafadar, Ale...
CIKM
2008
Springer
15 years 5 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
JAIR
2008
171views more  JAIR 2008»
15 years 3 months ago
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002
TAMC
2009
Springer
15 years 10 months ago
The Extended Turing Model as Contextual Tool
Computability concerns information with a causal – typically algorithmic – structure. As such, it provides a schematic analysis of many naturally occurring situations. We look ...
S. Barry Cooper
SIGECOM
2009
ACM
118views ECommerce» more  SIGECOM 2009»
15 years 10 months ago
Modeling volatility in prediction markets
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Nikolay Archak, Panagiotis G. Ipeirotis