Analyzing and classifying this dataset not only provides deep insights into widely used services but also challenges researchers to develop robust algorithms capable of handling real-world traffic scenarios. Thus, choosing the QUIC dataset for this experiment ensures a practical, relevant, and challenging...
However, the existing algorithms of representation learning in reward-free RL still suffers seriously from high sample complexity, although they are polynomially efficient. In this talk, I will first present a novel representation learning algorithm that we propose for reward-free RL. We show that ...
HCC can provide an effective integration of various medical auxiliary diagnosis models using machine learning algorithms. In medical HCC, deep learning has demonstrated its powerful ability in the field of computer vision. However, image processing based on deep learning usually requi...
Deep neural network (DNN) brings the rapid development of pattern recognition algorithms. However, a large number of experiments show that there are some v
Data Any information, Analytic Derivatives, formula, algorithms, or other content that the Authorized User may provide to the Contractor pursuant to this Contract. Data includes, but is not limited to, any of the foregoing that the Authorized User and/or Contractor (i) uploads to the Cloud ...
In addition, we adjust the parameters of the DBSCAN algorithm and compare it with the main clustering algorithms. 5.1. Datasets The datasets commonly used in personalized federated learning experiments include the benchmark datasets MNIST [20,25,38,39] and Fashion-MNIST [20,24,40,41]. MNIST: ...
As PCM is uncompressed, the file size of the recorded audio is massive. It is possible to compress audio files using lossy or even lossless compression algorithms to retain the fidelity of the audio while reducing the file size. DolbyandDTSare lossy audio compressions which are often used for...
4 We discuss the implications of our findings on sampling challenges and provide arguments why open/shared data needs open algorithms in order to give researchers and practitioners a fair chance to know and assess the data. The remainder of this article is structured as follows: after reporting ...
Implemented scheduling algorithms to retrieve market data from multiple pricing engines. Awarded for best internship project presentation. Systems Lab, SGSITS, Indore, India Lab Assistant, Wireless Networking Group Aug 2005 to May 2007 Implemented real-world framework for multi-channel rate adaptation pro...
Eslami M, Rickman A, Vaccaro K, Aleyasen A, Vuong A, Karahalios K, Hamilton K, Sandvig C (2015) I always assumed that I wasn’t really that close to [her]: reasoning about invisible algorithms in news feeds. In: Proceedings of the 33rd annual ACM conference on human factors in comp...