Št. zadetkov: 70
Video in druga učna gradiva
Oznake:
computer science;data science
A new paradigm of recommendation is emerging in intelligent personal assistants such as Apple’s Siri, Google Now, and Microsoft Cortana, which recommends “the right information at the right time” and proactively helps you “get things done”. This type of recommendation requires precisely tracking use ...
Leto:
2016
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision
Very deep convolutional networks with hundreds of layers have led to significant reductions in error on competitive benchmarks. Although the unmatched expressiveness of the many layers can be highly desirable at test time, training very deep networks comes with its own set of challenges. The gradien ...
Leto:
2016
Vir:
videolectures.net
Objavljeni znanstveni prispevek na konferenci
Oznake:
programski jeziki;domensko specifični jeziki;semantika;modelirni jezik;transformacija programa;domain-specific languages;program transformation;model transformation;model-driven engineering;modeling language;
Despite the increasing interest in model-driven engineering, there are many open issues that need to be addressed to advance the technology and promote its adoption. This position paper outlines several current limitations of model transformation, with a specific emphasis on model optimization. A pr ...
Leto:
2008
Vir:
Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Objavljeni znanstveni prispevek na konferenci
Oznake:
programski jeziki;domensko specifični jeziki;modelirni jezik;domain-specific languages;programming languages;modeling language;
It is often difficult to discern the differences between programming and modeling languages. As an example, the term "domain-specific language" has been used almost interchangeably in academia and industry to represent both programming and modeling languages, which has caused subtle misconceptions. ...
Leto:
2008
Vir:
Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Video in druga učna gradiva
Oznake:
computer science;data mining;data visualisation
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;gaussian processes
We propose a backward deletion procedure to Sparse Gaussian Process Regression (SGPR) model, which can be used to refine a number of se- quential forward selection algorithms addressed recently. Some experi- mental results demonstrate the effectiveness of our approach.
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;optimization methods;stochastic optimization
To optimize unknown `fitness' functions, we introduce Natural Search, a novel stochastic search method that constitutes a principled alternative to standard evolutionary methods. It maintains a multinormal distribution on the set of solution candidates. The Natural Gradient is used to update the dis ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;social media
Whether they are modeling bookmarking behavior in Flickr or cascades of failure in large networks, models of diffusion often start with the assumption that a few nodes start long chain reactions, resulting in large-scale cascades. While rea-sonable under some conditions, this assumption may not hold ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;social media
In online discussion forums, users are more motivated to take
part in discussions when observing other users’ participation
— the effect of social influence among forum users. In this
paper, we study how to utilize social influence for increasing
user participation in online forums. To do so, we pro ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden structures of the network and the individual role played by every object in each cluster. However, although clustering on ...
Leto:
2009
Vir:
videolectures.net