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Found 4 papers, 1 papers with code
Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees
Tree-based ensemble methods, as Random Forests and Gradient Boosted Trees, have been successfully used for regression in many applications and research studies.
Sparse hierarchical interaction learning with epigraphical projection
This work focuses on learning optimization problems with quadratical interactions between variables, which go beyond the additive models of traditional linear learning.
Semantic Similarity from Natural Language and Ontology Analysis
Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments -- most of which demand high cognitive skills (e. g. learning or decision processes).
Semantic Measures for the Comparison of Units of Language, Concepts or Instances from Text and Knowledge Base Analysis
Semantic measures are widely used today to estimate the strength of the semantic relationship between elements of various types: units of language (e. g., words, sentences, documents), concepts or even instances semantically characterized (e. g., diseases, genes, geographical locations).
