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NLPRS
2001
Springer
13 years 12 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
DAGSTUHL
2006
13 years 8 months ago
A Petri Net Approach to Verify and Debug Simulation Models
Verification and Simulation share many issues, one is that simulation models require validation and verification. In the context of simulation, verification is understood as the ta...
Peter Kemper, Carsten Tepper
SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
11 years 10 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
ICML
2005
IEEE
14 years 8 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
RECOMB
2008
Springer
14 years 7 months ago
BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes
The transcriptional regulatory sequences in metazoan genomes often consist of multiple cis-regulatory modules (CRMs). Each CRM contains locally enriched occurrences of binding site...
Tien-ho Lin, Pradipta Ray, Geir Kjetil Sandve, Sel...