Model complexity of deep learning: A survey
Abstract Model complexity is a fundamental problem in deep learning. In this paper, we
conduct a systematic overview of the latest studies on model complexity in deep learning …
conduct a systematic overview of the latest studies on model complexity in deep learning …
A survey of methods for explaining black box models
In recent years, many accurate decision support systems have been constructed as black
boxes, that is as systems that hide their internal logic to the user. This lack of explanation …
boxes, that is as systems that hide their internal logic to the user. This lack of explanation …
[图书][B] Data mining with decision trees: theory and applications
Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …
knowledge discovery and data mining; it is the science of exploring large and complex …
[图书][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
Automatic construction of decision trees from data: A multi-disciplinary survey
SK Murthy - Data mining and knowledge discovery, 1998 - Springer
Decision trees have proved to be valuable tools for the description, classification and
generalization of data. Work on constructing decision trees from data exists in multiple …
generalization of data. Work on constructing decision trees from data exists in multiple …
Decision trees
Decision Trees are considered to be one of the most popular approaches for representing
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
Top-down induction of decision trees classifiers-a survey
Decision trees are considered to be one of the most popular approaches for representing
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
Data mining with an ant colony optimization algorithm
RS Parpinelli, HS Lopes… - IEEE transactions on …, 2002 - ieeexplore.ieee.org
The paper proposes an algorithm for data mining called Ant-Miner (ant-colony-based data
miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is …
miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is …
[图书][B] Genetic algorithms and genetic programming: modern concepts and practical applications
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …
A comparative analysis of methods for pruning decision trees
In this paper, we address the problem of retrospectively pruning decision trees induced from
data, according to a top-down approach. This problem has received considerable attention …
data, according to a top-down approach. This problem has received considerable attention …