بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
mould » could (توسيع البحث), would (توسيع البحث), mold (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
mould » could (توسيع البحث), would (توسيع البحث), mold (توسيع البحث)
-
21
Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019الموضوعات: احصل على النص الكامل
-
22
Competitive learning/reflected residual vector quantization for coding angiogram images
منشور في 2003"…This paper deals with employing competitive learning neural network in RRVQ design algorithm that results in competitive learning RRVQ algorithm for the RVQ structure. …"
احصل على النص الكامل
احصل على النص الكامل
article -
23
-
24
Practical single node failure recovery using fractional repetition codes in data centers
منشور في 2016"…FR codes consist of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
25
-
26
-
27
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
28
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
احصل على النص الكامل
-
29
-
30
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
منشور في 2022الموضوعات: -
31
-
32
-
33
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
34
-
35
An efficient approach for textual data classification using deep learning
منشور في 2022"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"
-
36
A Survey of Data Clustering Techniques
منشور في 2023"…To effectively analyze and utilize this data, AI particularly machine learning, and deep learning, can provide a practical solution. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
37
-
38
-
39
-
40
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"