Titlebook: Machine Learning; Zhi-Hua Zhou Textbook 2021 Springer Nature Singapore Pte Ltd. 2021 Machine Learning.Learning Algorithms.Neural Networks.

EVICT

parallelism

Bravura

禁止,切断

Decision Trees,wer to the question Is this instance positive? As the name suggests, a decision tree makes decisions based on tree structures, which is also a common decision-making mechanism used by humans. For example, in order to answer the question Is this watermelon .? we usually go through a series of judgmen

战胜

septicemia

Simulate

quiet-sleep

Feature Selection and Sparse Learning,formation. In other words, not all attributes are equally important for the learning task. In machine learning, attributes are also called .. Features that are useful for the current learning task are called ., and those useless ones are called .. The process of selecting relevant features from a gi

土坯

摇摆

Reinforcement Learning,the quality of the watermelons until harvesting. If we consider the harvesting of ripe watermelons as a reward for planting watermelons, then we do not receive the final reward immediately after each step of planting, e.g., fertilization. We do not even know the exact impact of the current action on