Št. zadetkov: 73
Video in druga učna gradiva
Oznake:
computer science;machine learning
In this paper, we summarize some recent results in Li et al. (2012), which can be used to extend an important PAC-Bayesian approach, namely the Gibbs posterior, to study the nonadditive ranking risk. The methodology is based on assumption-free risk bounds and nonasymptotic oracle inequalities, which ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;image analysis
We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of the pixels. Now, storing the representative pixels and the image in grayscale suffice to recover the original image. A sim ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Multilabel classification is an extension of conventional classification in
which a single instance can be associated with multiple labels. Recent
research has shown that, just like for conventional classification, instance-based learning algorithms relying on the nearest neighbor estimation princip ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;ensemble methods
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
The learning of predictive models that guarantee monotonicity
in the input variables has received increasing attention in machine
learning in recent years. While the incorporation of monotonicity constraints
is rather simple for certain types of models, it may become a more
intricate problem for oth ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This
paper introduces new methods for label ranking that complement and improve upon existing approaches. More specifically, we propose
extensions of two methods that hav ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;social media
Location sharing services (LSS) like Foursquare, Gowalla,
and Facebook Places support hundreds of millions of userdriven
footprints (i.e., “checkins”). Those global-scale footprints
provide a unique opportunity to study the social and
temporal characteristics of how people use these services and
to ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic web
A large amount of terms (classes and properties) have been published on the Semantic Web by various parties, to be shared for describing resources. Terms are defined based on other terms, and thus a directed dependence relation is formed. The study of term dependence is a foundation work and is impo ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;natural language processing;semantic web
Linked Data is developing towards a large, global repository for structured, interlinked descriptions of real-world entities. An emerging problem in many Web applications making use of data like Linked
Data is how a lengthy description can be tailored to the task of quickly identifying the underlyin ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;recommender systems;semantic web
When thousands of vocabularies having been published on the SemanticWeb by various authorities, a question arises as to how they are related to each other. Existing work has mainly analyzed their similarity. In this paper, we inspect the more general notion of relatedness, and characterize it from f ...
Leto:
2011
Vir:
videolectures.net