Best-first Decision Tree Learning [PDF]
In best-first top-down induction of decision trees, the best split is added in each step (e.g. the split that maximally reduces the Gini index). This is in contrast to the standard depth-first traversal of a tree.
Shi, Haijian
core
Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding. [PDF]
Liu Y +6 more
europepmc +1 more source
Redundancy in distributed proofs. [PDF]
Feuilloley L +4 more
europepmc +1 more source
Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology. [PDF]
Chatterjee A, Avazov N.
europepmc +1 more source
Assessment of reproductive performance in dairy cows using explainable machine learning. [PDF]
Çelik Gürbulak E +6 more
europepmc +1 more source
Critical Appraisal of Artificial Intelligence for Rare-Event Recognition: Principles and Pharmacovigilance Case Studies. [PDF]
Norén GN, Meldau EL, Ellenius J.
europepmc +1 more source
Multi-metric evaluation and parametric optimization of stochastic gradient boosting machines for genomic prediction and selection in wheat (Triticum aestivum) breeding. [PDF]
Munroe HN +2 more
europepmc +1 more source
Kleene's (unary) star in nondeterministic context.
Trees plays with respect to processes the same role as languages do w.r.t. automata.
LABELLA, Anna
core
Explainable AI Approaches in Federated Learning: Systematic Review. [PDF]
Tunduny T, Shibwabo B.
europepmc +1 more source
Kerven Durdymyradov, Mikhail Moshkov
openaire +2 more sources

