e/Population-based incremental learning

Information
has gloss	eng: In computer science and machine learning, population-based incremental learning (PBIL) is an optimization algorithm, and an estimation of distribution algorithm. This is a type of genetic algorithm where the genotype of an entire population (probability vector) is evolved rather than individual members . The algorithm is proposed by Shumeet Baluja in 1994. The algorithm is simpler than a standard genetic algorithm, and in many cases leads to better results than a standard genetic algorithm .
lexicalization	eng: Population based incremental learning
lexicalization	eng: Population-based incremental learning
instance of	e/Genetic algorithm

Meaning
Japanese
has gloss	jpn: 計算機科学や機械学習において、Population-Based Incremental Learning (PBIL) とは、最適化アルゴリズムの一つであり、分布推定アルゴリズムの一つ。遺伝的アルゴリズムの一種であり、個々の個体ではなく、全個体群の遺伝子型(確率ベクトル)が進化する。アルゴリズムはShumeet Balujaが1994年に提案した。このアルゴリズムは標準的な遺伝的アルゴリズムよりもシンプルであり、多くのケースで、標準的な遺伝的アルゴリズムよりも良い結果を出す。
lexicalization	jpn: Population-based incremental learning