Št. zadetkov: 13
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
Leto:
2004
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;information retrieval
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;support vector machines
We examine the relationship between the predictions
made by different learning algorithms and
true posterior probabilities. We show that maximum
margin methods such as boosted trees and
boosted stumps push probability mass away from
0 and 1 yielding a characteristic sigmoid shaped
distortion i ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
events
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;support vector machines
This talk explores large-margin approaches to predicting graph-based objects like trees, clusterings, or alignments. Such problems arise, for example, when a natural language parser needs to predict the correct parse tree for a given sentence, when one needs to determine the co-reference relationshi ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;human language technology;information retrieval
The course will give an overview of how statistical learning can help organize and access information that is represented in textual form. In particular, it will cover tasks like text classification, information retrieval, information extraction, topic detection, and topic tracking. The course will ...
Leto:
2003
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;information retrieval
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;on-line learning
Many systems, ranging from search engines to smart homes, aim to continually improve the utility they are providing to their users. While clearly a machine learning problem, it is less clear what the
interface between user and learning algorithm should look like. Focusing on learning problems that a ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;web search
We present a theoretically well-founded retrieval model for dynamically generating rankings based on interactive user feedback. Unlike conventional rankings that remain static after the query was issued, dynamic rankings allow and anticipate user activity, thus providing a way to combine the otherwi ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data science
Every time a system places an ad, presents a search ranking, or makes a recommendation, we can think about this as an intervention for which we can observe the user's response (e.g. click, dwell time, purchase). Such logged intervention data is actually one of the most plentiful types of data availa ...
Leto:
2017
Vir:
videolectures.net