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Algorithms for fitting the constrained lasso
We compare alternative computing strategies for solving the constrained lasso problem. As
its name suggests, the constrained lasso extends the widely used lasso to handle linear …
its name suggests, the constrained lasso extends the widely used lasso to handle linear …
What videos are similar with you? learning a common attributed representation for video recommendation
Although video recommender systems have become the predominant way for people to
obtain video information, their performances are far from satisfactory in that (1) the …
obtain video information, their performances are far from satisfactory in that (1) the …
A nearest-neighbor search model for distance metric learning
Distance metric learning aims to deal with the data distribution by learning a suitable
distance metric from the training instances. For distance metric learning, the optimization …
distance metric from the training instances. For distance metric learning, the optimization …
Leveraging social context for modeling topic evolution
Topic discovery and evolution (TDE) has been a problem which has gained long standing
interest in the research community. The goal in topic discovery is to identify groups of …
interest in the research community. The goal in topic discovery is to identify groups of …
[HTML][HTML] Nonparametric estimation of the random coefficients model: An elastic net approach
This paper investigates and extends the computationally attractive nonparametric random
coefficients estimator of Fox et al.(2011). We show that their estimator is a special case of the …
coefficients estimator of Fox et al.(2011). We show that their estimator is a special case of the …
Projection onto Minkowski sums with application to constrained learning
We introduce block descent algorithms for projecting onto Minkowski sums of sets.
Projection onto such sets is a crucial step in many statistical learning problems, and may …
Projection onto such sets is a crucial step in many statistical learning problems, and may …
Penalized and constrained LAD estimation in fixed and high dimension
Recently, many literatures have proved that prior information and structure in many
application fields can be formulated as constraints on regression coefficients. Following …
application fields can be formulated as constraints on regression coefficients. Following …
Analysis of user roles and the emergence of themes in discussion forums
This work explores network analysis methods for the analysis of emergent themes as well as
types of users in discussion forums. The paper provides both, a description of the analysis …
types of users in discussion forums. The paper provides both, a description of the analysis …
Detecting short-term cyclical topic dynamics in the user-generated content and news
With the maturation of the Internet and the mobile technology, Internet users are now able to
produce and consume text data in different contexts. Linking the context to the text data can …
produce and consume text data in different contexts. Linking the context to the text data can …
[PDF][PDF] People-centric natural language processing
The written text that we interact with on an everyday basis—news articles, emails, social
media, books—is the product of a profoundly social phenomenon with people at its core …
media, books—is the product of a profoundly social phenomenon with people at its core …