Št. zadetkov: 11
Izvirni znanstveni članek
Oznake:
Aedes albopistus;modeliranje ekološke niše;modeliranje različnosti;povezava med genotipom in okoljem;geometrijska morfometrija;ohranjanje niše;RAD sekvenciranje;hitra adaptacija;ecological niche modeling;generalized dissimilarity modeling;genotype- environment association;geometric morphometrics;niche conservatism;RAD sequencing;rapid adaptation;
Predicting the success of an invader
Leto:
2019
Vir:
Univerza na Primorskem (UP)
Video in druga učna gradiva
Oznake:
computer science;semantic web
This paper presents Grr, a powerful system for generating random RDF data, which can be used to test Semantic Web applications. Grr has a SPARQL-like syntax, which allows the system to be both powerful and convenient. It is shown that Grr can easily be used to produce intricate datasets, such as the ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;multiple kernel learning
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;on-line learning;mathematics;game theory
The first part of tha tutorial will discuss adaptive algorithms for making decisions in uncertain environments (e.g., what route should I take to work if I have to decide before I know what traffic will like today?) and connections to central concepts in game theory (e.g., what can we say about how ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
Kernel methods have become powerful tools in machine learning. They perform well in many applications, and there is also a well-developed theory of what makes a given kernel useful for a given learning problem. However, this theory requires viewing kernels as implicit (and often difficult to charact ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;on-line learning
We discuss an online learning framework in which the agent is allowed to say "I don't know2 as well as making incorrect predictions on given examples. We analyze the trade off between saying "I don't know" and making mistakes. If the number of don't know predictions is forced to be zero, the model r ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods
Kernel methods have proven to be very powerful tools in machine learning. In addition, there is a well-developed theory of sufficient conditions for a kernel to be useful for a given learning problem. However, while a kernel function can be thought of as just a pairwise similarity function that sati ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods
Random projection is a simple technique that can often provide insight into questions such as "why is it good to have a large margin?" or "what are kernels really doing and how are they similar to feature selection?" In this talk I will describe some simple learning algorithms using random projectio ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;semi-supervised learning
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
social sciences;society;education;technology
Leto:
2017
Vir:
videolectures.net