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RECOMB
2010
Springer
13 years 10 months ago
naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...
Wei-Chun Kao, Yun S. Song
AAAI
2010
13 years 10 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
AI
1998
Springer
13 years 8 months ago
Model-Based Diagnostics and Probabilistic Assumption-Based Reasoning
Jürg Kohlas, Bernhard Anrig, Rolf Haenni, Pau...