The Open Data Science community is passionate and diverse, and we always welcome contributions from data science professionals! All of the articles under this profile are from our community, with individual authors mentioned in the text itself. ...
MLDS 2025 is gearing up to be India’s biggest developers conference, uniting over 2,000 tech enthusiasts in Bangalore to explore Email: info@aimmediahouse.com Our Offices AIM India 1st Floor, Sakti Statesman, Marathahalli – Sarjapur Outer Ring Rd, Green Glen Layout, Bellandur, Bengaluru, Karn...
While their performance increases with the increasing number of layers and neurons, it is crucial to design an efficient deep architecture in order to reduce computational and memory costs. Designing an efficient neural network, however, is labor intensive requiring many experiments, and fine-tunings...
In subject area: Computer Science Decision tree pruning is the process of refining a decision tree model by removing unnecessary branches or nodes to prevent overfitting and improve its generalization ability on unseen data. AI generated definition based on: Advances in Computers, 2021 ...
Computer Science - Computer Vision and Pattern RecognitionDeep Neural nets (NNs) with millions of parameters are at the heart of manystate-of-the-art computer vision systems today. However, recent works haveshown that much smaller models can achieve similar levels of performance. Inthis work, we...
Decision Tree's Pruning Algorithm Based on Deficient Data Sets ID3 algorithm is a decision tree induction algorithm, but its pruning method (EEP) is an ineffective method when the data sets are deficient, uncertain. In... Y Zhang,ZX Chi,DG Wang - International Conference on Parallel & Distrib...
In subject area:Veterinary Science and Veterinary Medicine Synaptic pruning during adolescence is accompanied by a reorganization of neuronal connections, whereby mistargeted axons and unused synapses are eliminated, and connectivity becomes more specific. ...
The increasing interest in filter pruning of convolutional neural networks stems from its inherent ability to effectively compress and accelerate these networks. Currently, filter pruning is mainly divided into two schools: norm-based and relation-based. These methods aim to selectively remove the least...
"To mitigate this problem, we've demonstrated an approach that uses mathematical techniques to equalize the groups that the deep learning model is using to categorize data samples," Kim says. "In other words, we are using algorithms to address the gap in accuracy across groups." ...
In this paper we address the problem of efficiently routing queries among peers in a mobile ad-hoc network. Peers possess a local database and can pose queries to other peers, forming a distributed peer database application. In contrast to traditional networking, routing a query involves its de...