Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Saket Sathe"'
Publikováno v:
Knowledge and Information Systems. 63:675-694
Spectral clustering is one of the most popular modern clustering algorithms. It is easy to implement, can be solved efficiently, and very often outperforms other traditional clustering algorithms such as k-means. However, spectral clustering could be
Publikováno v:
ACM SIGKDD Explorations Newsletter. 21:23-38
Deep learning methods have found increasing interest in recent years because of their wide applicability for prediction and inference in numerous disciplines such as image recognition, natural language processing, and speech recognition. Computationa
Autor:
Shibban K Kaul, Piyush Singhania, Nitin Joshi, Sanish Shringarpure, Nandkishor Raut, Saket Sathe, Chander P Puri, Niraj Tiwari
Publikováno v:
MGM Journal of Medical Sciences. 4:1-5
Autor:
Saket Sathe, Charu C. Aggarwal
Publikováno v:
ICDM
Recent experimental studies have shown that the support vector machine and the random forest are "stand out" models that outperform most other supervised learning methods in benchmarked evaluations on real-world data sets. Studies have also establish
Publikováno v:
ICDM
Spectral clustering is one of the most popular modern clustering algorithms. It is easy to implement, can be solved efficiently, and very often outperforms other traditional clustering algorithms such as k-means. However, pectral clustering would be
Publikováno v:
ACM SIGKDD Explorations Newsletter. 17:24-36
The significant adoption of solar photovoltaic (PV) systems in both commercial and residential sectors has spurred an interest in monitoring the performance of these systems. This is facilitated by the increasing availability of regularly logged PV p
Autor:
Chander P Puri, Nitin Joshi, Saket Sathe, Shibban K Kaul, Niraj Tiwari, Sanish Shringarpure, Nandkishor Raut, Piyush Singhania
Publikováno v:
MGM Journal of Medical Sciences. 4:97-99
Autor:
Charu C. Aggarwal, Saket Sathe
This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A fo
Publikováno v:
ICDM
Singular value decomposition (SVD) has been used widely in the literature to recover the missing entries of a matrix. The basic principle in such methods is to assume that the correlated data is distributed with a low-rank structure. The knowledge of
Publikováno v:
ISGT Europe
Rising electricity prices alongside an increasing environmental awareness have sparked numerous initiatives from consumers to adopt clean energy resources. Additionally, consumers have begun to take a more proactive role in their own electricity gene