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Št. zadetkov: 6
QSAR analysis of chicoric acid derivatives as HIV-1 integrase inhibitors
Kamlesh K. Sahu, V. Ravichandran, Prateek K. Jain, Simant Sharma, V. K. Mourya, R. K. Agrawal
Izvirni znanstveni članek
Oznake: AIDS;inhibicija;kikorna kislina;derivati;HIV integraza;računalniški modeli;biološka aktivnost;
Leto: 2008 Vir: dLib.si Digitalna knjižnica Slovenije
Guaranteed Rank Minimization via Singular Value Projection
Prateek Jain
Video in druga učna gradiva
Oznake: computer science;machine learning
Minimizing the rank of a matrix subject to affine constraints is a fundamental problem with many important applications in machine learning and statistics. In this paper we propose a simple and fast algorithm SVP (Singular Value Projection) for rank minimization under affine constraints ARMP and sho ...
Leto: 2010 Vir: videolectures.net
Inductive Regularized Learning of Kernel Functions
Prateek Jain
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods
In this paper we consider the fundamental problem of semi-supervised kernel function learning. We propose a general regularized framework for learning a kernel matrix, and then demonstrate an equivalence between our proposed kernel matrix learning framework and a general linear transformation learni ...
Leto: 2010 Vir: videolectures.net
Learning Mixture of Discrete Distributions over Product Spaces
Prateek Jain
Video in druga učna gradiva
Oznake: computer science;machine learning;unsupervised learning;computational learning theory;on-line learning;statistical learning;supervised learning
We study the problem of learning a distribution from samples, when the underlying distribution is a mixture of product distributions over discrete domains. This problem is motivated by several practical applications such as crowdsourcing, recommendation systems, and learning Boolean functions. The e ...
Leto: 2014 Vir: videolectures.net
Learning Sparsely Used Overcomplete Dictionaries
Prateek Jain
Video in druga učna gradiva
Oznake: computer science;machine learning;supervised learning;statistical learning;on-line learning;unsupervised learning;computational learning theory
We consider the problem of learning sparsely used overcomplete dictionaries, where each observation is a sparse combination of elements from an unknown overcomplete dictionary. We establish exact recovery when the dictionary elements are mutually incoherent. Our method consists of a clustering-based ...
Leto: 2014 Vir: videolectures.net
Nuance Reasoning Framework
Prateek Jain
Video in druga učna gradiva
Oznake: computer science;semantic web
In this paper, we report on an extensible reasoning framework developed at Nuance Communications that allows a variety of specialized reasoners to be used simultaneously. We report on the key design features of our reasoning framework, and provide a real world use case in the automotive domain.
Leto: 2017 Vir: videolectures.net
Št. zadetkov: 6
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