Št. zadetkov: 17
Video in druga učna gradiva
Oznake:
computer science;web mining;machine learning
Machine learning and the Web are a technology and an application area made for each other. The Web provides machine learning with an ever-growing stream of challenging problems, and massive data to go with them: search ranking, hypertext classification, information extraction, collaborative filterin ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
business;management;knowledge management
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, because it requires approximate inference. We propose an alternative: learning models with a score function that directly p ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
The tutorial will be composed of three parts:** ** # ** Foundational areas.** The first part will consist of a brief introduction to each of the four foundational areas of SRL: logical inference, inductive logic programming, probabilistic inference, and statistical learning. Obviously, in the short ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;natural language processing;machine learning;markov processes
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;inductive logic programming;statistical learning
KDD has traditionally been concerned with mining data from a single relation. However, most applications involve multiple interacting relations, either explicitly (in relational databases) or implicitly (in semi-structured and multimodal data). Examples include link analysis, social networks, bioinf ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;markov processes
Markov logic allows very large and rich graphical models to be compactly specified. Current learning and inference algorithms for Markov logic can routinely handle models with millions of variables, billions of features, thousands of latent variables, and strong dependencies. In this talk I will giv ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
ACM SIGKDD is pleased to announce that Pedro Domingos is the winner of its 2014 Innovation Award. He is recognized for his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic networks, as well as applications in viral marketing and inf ...
Leto:
2014
Vir:
videolectures.net