Št. zadetkov: 14
Video in druga učna gradiva
Oznake:
computer science;data science
Microbiome sequencing allows defining clusters of samples with shared composition. However, this paradigm poorly accounts for samples whose composition is a mixture of cluster-characterizing ones and which therefore lie in between them in the cluster space. This paper addresses unsupervised learnin ...
Leto:
2017
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;information extraction
We study the standard retrieval task of ranking a fixed set of items given a previously unseen query and pose it as the half transductive ranking problem. The task is transductive as the set of items is fixed. Transductive representations (where the vector representation of each example is learned) ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resulting methods can be trained online, have vastly superior training and testing speed to existing TSVM algorithms, can enco ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;artificial intelligence
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;semi-supervised learning
We show how nonlinear embedding algorithms popular for use with shallow semi-supervised learning techniques such as kernel methods can be applied to deep multi-layer architectures, either as a regularizer at the output layer, or on each layer of the architecture. This provides a simple alternative t ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;semi-supervised learning
Labeling data is expensive, whilst unlabeled data is often
abundant and cheap to collect. Semi-supervised learning algorithms that
can use both types of data can perform significantly better than supervised
algorithms that use labeled data alone. However, for such gains
to be observed, the amoun ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;cryptography and security
Fraud detection describesmethods that attempt to identify fraudulent activity as quickly
as possible. From a statistical methods perspective there are broadly two approaches to
fraud detection [1]. These relate to whether we intend to detect known examples of
fraudulent activity or whether we int ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;natural language processing
This tutorial will describe recent advances in deep learning techniques for Natural Language Processing (NLP). Traditional NLP approaches favour shallow systems, possibly cascaded, with adequate hand-crafted features. In constrast, we are interested in end-to-end architectures: these systems include ...
Leto:
2009
Vir:
videolectures.net