Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Chitta, Radha"'
Autor:
Roegiest, Adam, Chitta, Radha
Finding answers to legal questions about clauses in contracts is an important form of analysis in many legal workflows (e.g., understanding market trends, due diligence, risk mitigation) but more important is being able to do this at scale. Prior wor
Externí odkaz:
http://arxiv.org/abs/2410.12840
Autor:
Roegiest, Adam, Chitta, Radha, Donnelly, Jonathan, Lash, Maya, Vtyurina, Alexandra, Longtin, François
In many legal processes being able to action on the concrete implication of a legal question can be valuable to automating human review or signalling certain conditions (e.g., alerts around automatic renewal). To support such tasks, we present a form
Externí odkaz:
http://arxiv.org/abs/2310.10141
Autor:
Ma, Fenglong, Chitta, Radha, Kataria, Saurabh, Zhou, Jing, Ramesh, Palghat, Sun, Tong, Gao, Jing
Question answering is an important and difficult task in the natural language processing domain, because many basic natural language processing tasks can be cast into a question answering task. Several deep neural network architectures have been deve
Externí odkaz:
http://arxiv.org/abs/1707.01961
Predicting the future health information of patients from the historical Electronic Health Records (EHR) is a core research task in the development of personalized healthcare. Patient EHR data consist of sequences of visits over time, where each visi
Externí odkaz:
http://arxiv.org/abs/1706.05764
Autor:
Yang, Xitong, Ramesh, Palghat, Chitta, Radha, Madhvanath, Sriganesh, Bernal, Edgar A., Luo, Jiebo
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications. When the available modalities consist of time series data such as video,
Externí odkaz:
http://arxiv.org/abs/1704.03152
Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data. Among various kernel-based clustering algorithms, kernel k-means has gained popularity due to its simple iterative nature and ease of implemen
Externí odkaz:
http://arxiv.org/abs/1402.3849
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Chitta, Radha, Murty, M Narasimha
Publikováno v:
IndraStra Global.
Partitional clustering algorithms, which partition the dataset into a pre-defined number of clusters, can be broadly classified into two types: algorithms which explicitly take the number of clusters as input and algorithms that take the expected siz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::02b91bcd85840f4a03999312a51551b5
https://igi.indrastra.com/items/show/195647
https://igi.indrastra.com/items/show/195647
Publikováno v:
2015 IEEE International Conference on Data Mining Workshop (ICDMW); 1/1/2015, p607-614, 8p