Results 231 to 240 of about 223,989 (265)
Some of the next articles are maybe not open access.
Dynamic Forest Model for Sentiment Classification
2017Sentiment classification is a useful approach to analyse the emotional polarity of user reviews, and method based on machine learning has achieved a great success. In the era of Web2.0, the emotional intensity of terms will change with time and events, while a large number of Out-Of-Vocabulary (OOV) terms are appearing.
Mingming Li +3 more
openaire +1 more source
Classification Using Streaming Random Forests
IEEE Transactions on Knowledge and Data Engineering, 2011We consider the problem of data stream classification, where the data arrive in a conceptually infinite stream, and the opportunity to examine each record is brief. We introduce a stream classification algorithm that is online, running in amortized O(1) time, able to handle intermittent arrival of labeled records, and able to adjust its parameters to ...
Hanady M. Abdulsalam +2 more
openaire +1 more source
Classification Using Rough Random Forest
2015The Rough random forest is a classification model based on rough set theory. The Rough random forest uses the concept of random forest and rough set theory in a single model. It combines a collection of decision trees for classification instead of depending on a single decision tree.
Rajhans Gondane, V. Susheela Devi
openaire +1 more source
Random forests for land cover classification
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004In recent years, a number of works reported the use of combination of multiple classifiers to produce a single classification and demonstrated significant performance improvement. The resulting classifier, referred to as an ensemble classifier, is a set of classifiers whose individual decisions are combined by weighted or unweighted voting to classify ...
openaire +1 more source
An improved deep forest classification algorithm
International Journal of Modelling, Identification and Control, 2022Jiaman Ding +4 more
openaire +1 more source
Experience of Forest Ecological Classification in Assessment of Vegetation Dynamics
Sustainability, 2022Antonin Kusbach +2 more
exaly
A comparison of random forest variable selection methods for classification prediction modeling
Expert Systems With Applications, 2019Edward Ip, Janet Tooze, Jaime Speiser
exaly
An assessment of the effectiveness of a random forest classifier for land-cover classification
ISPRS Journal of Photogrammetry and Remote Sensing, 2012J Rogan, M Chica-Olmo
exaly