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Št. zadetkov: 32
HINCUTs in cancer
Jana Ferdin, Naohiro Nishida, X. Wu, Milena S. Nicoloso, Muhammad Yasin Shah, C. Devlin, H. Ling, Masayoshi Shimizu, K. Kumar, Maria Angelica Cortez, M. Ferracin, Y. Bi, Decheng Yang, Bogdan Czerniak, Wei Zhang, T. D. Schmittgen, M. P. Voorhoeve, M. J. Reginato, M. Negrini, Ramana V. Davuluri, Tanja Kunej, M. Ivan, George Adrian Calin
Izvirni znanstveni članek
Oznake: medicina;rak;hipoksija;molekularna genetika;HINCUT;
HINCUTs in cancer
Leto: 2013 Vir: Biotehniška fakulteta (UL BF)
Viral Marketing NetworkX
Feng Ling
Video in druga učna gradiva
Oznake: science;complexity science;computer science;data science;mathematics;physics
[[https://networkx.github.io/documentation/networkx-1.9.1/reference/introduction.html|NetworkX]] provides data structures for graphs (or networks) along with graph algorithms, generators, and drawing tools. The structure of NetworkX can be seen by the organization of its source code. The package ...
Leto: 2017 Vir: videolectures.net
Machine Learning for Stock Selection
Charles X. Ling
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering;social sciences;economics;instance-based learning
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and applies a modified competitive learning technique to predict the ranks of stocks. The primary target of PR is to select the ...
Leto: 2007 Vir: videolectures.net
Cost efficiency analysis of China's banking sector based on SFA approach
Ling He, Marko Košak
Magistrsko delo
Oznake: China;banking systems;banking;banks;costs;efficiency;research;analysis;
Cost efficiency analysis of China's banking sector based on SFA approach
Leto: 2012 Vir: Ekonomska fakulteta (UL EF)
Multi-Label Learning by Exploiting Label Dependency
Min-Ling Zhang
Video in druga učna gradiva
Oznake: computer science;artificial intelligence
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (exponential) number of possible label sets, the task of learning from multi-label examples is rather challenging. Therefore ...
Leto: 2010 Vir: videolectures.net
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-Ling Loh
Video in druga učna gradiva
Oznake: computer science;machine learning;regression
Although the standard formulations of prediction problems involve fully-observed and noiseless data drawn in an i.i.d. manner, many applications involve noisy and/or missing data, possibly involving dependencies. We study these issues in the context of high-dimensional sparse linear regression, and ...
Leto: 2011 Vir: videolectures.net
No voodoo here! Learning discrete graphical models via inverse covariance estimation
Po-Ling Loh
Video in druga učna gradiva
Oznake: computer science;machine learning;graphical models
We investigate the relationship between the support of the inverses of generalized covariance matrices and the structure of a discrete graphical model. We show that for certain graph structures, the support of the inverse covariance matrix of indicator variables on the vertices of a graph reflects t ...
Leto: 2012 Vir: videolectures.net
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh
Video in druga učna gradiva
Oznake: computer science;machine learning
We establish theoretical results concerning all local optima of various regularized M-estimators, where both loss and penalty functions are allowed to be nonconvex. Our results show that as long as the loss function satisfies restricted strong convexity and the penalty function satisfies suitable re ...
Leto: 2014 Vir: videolectures.net
ǂA ǂcomputational CNN-LSTM-based mental health consultation system in a college environment
Ling Pan, Haili Ma
Ni določena
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Leto: 2025 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Does the configuration of a primary care system impact on care quality - an exploratory assessment
Gerrard Abi-Aad, Y-Ling Chi
Pregledni znanstveni članek
Oznake: primary healthcare system;quality;multimorbidity;chronic disease;
Primary health care systems (PHCS) can be highly effective at meeting the healthcare needs of people with chronic or multiple morbidity. Under the right conditions it is also the best setting to assess health more generally and to intervene when health risks are identified. For people with an establ ...
Leto: 2012 Vir: Repozitorij Univerze na Primorskem (RUP)
Št. zadetkov: 32
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