منابع مشابه
Wrappers for Feature Subset Selection
In the feature subset selection problem a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention while ignoring the rest To achieve the best possible performance with a particular learning algorithm on a particular training set a feature subset selection method should consider how the algorithm and the training set interact We e...
متن کاملAij Special Issue on Relevance Wrappers for Feature Subset Selection
In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention, while ignoring the rest. To achieve the best possible performance with a particular learning algorithm on a particular training set, a feature subset selection method should consider how the algorithm and the training set interact....
متن کاملGenetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning
1. Inferential loss: Quality of the model produced by an inducer as detected through inferential loss evaluated over a holdout validation data set Dval ≡ D \ Dtrain 2. Model loss: “Size” of the model under a specified coding or representation 3. Ordering loss: Inference/classificationindependent and model-independent measure of data quality given only training and validation data D and hyperpar...
متن کاملWrappers for Feature Subset Selection in CRF-based Clinical Information Extraction
We present our methodology and the results for Task 1 of the CLEF eHealth Evaluation Lab 2016. This benchmark addresses clinical information extraction related to nursing shift changes, whereas the challenge is to maximize the correctness in structuring written free-text records by automatically identifying relevant text-snippets. Our approach is focused on the exploration of relevant features ...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 1997
ISSN: 0004-3702
DOI: 10.1016/s0004-3702(97)00043-x