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Everything about Infer.NET
Microsoft open source library
Infer.NET is a free and open source .NET software library for machine learning. It supports running Bayesian inference in graphical models and can also be used for probabilistic programming. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Infer.NETA 5-minute orientation
- Skim a recent paper: Generalizing Bayesian phylogenetics to infer shared evolutionary eventsInfluential work since 2022
- Pick up a classic book: Writing ArgumentsThe most-reprinted book on the subject
- Read the landmark paper: The use of eddy covariance to infer the net carbon dioxide uptake of Brazilian rain forestCited 173 times
- Go sideways: ML.NETA closely related topic
- Go sideways: List of Visual Basic .NET software and toolsA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The use of eddy covariance to infer the net carbon dioxide uptake of Brazilian rain forest
CORE-Net: exploiting prior knowledge and preferential attachment to infer biological interaction networks
Using Network Traffic to Infer Hardware State
PREMER: A Tool to Infer Biological Networks
Using historical dip net data to infer absence of flatwoods salamanders in stochastic environments
Ontology-based type-system integrated tools to infer facts about information objects for .NET platform
Harnessing evolution to infer protein networks
Using Network Methodology to Infer Population Substructure
🆕 Influential since 2022
Generalizing Bayesian phylogenetics to infer shared evolutionary events
Using Bayesian phylogenetics to infer manuscript transmission history
TopoKG: Infer Internet AS-Level Topology From Global Perspective
Applied Causality to Infer Protein Dynamics and Kinetics
A methodology to infer value networks from police case files
📚 Books worth reading
Writing ArgumentsJohn D. Ramage, John C. Bean · 2000
The web application hacker's handbookDafydd Stuttard, Marcus Pinto · 2007
History of the Society of Jesus in North AmericaThomas Hughes · 1907
Jesus His Life In The Very Words Of The Four GospelsHenry Beauclerk · 1896
C# 4.0 in a nutshellJoseph Albahari · 2010
Inductive Logic ProgrammingFabrizio Riguzzi · 2013
Uncertainty in artificial intelligence 3Laveen N. Kanal, Tod S. Levitt · 1989
Foundations of software science and computation structuresFOSSACS 2000 (2000 Berlin, Germany) · 2000
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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