Št. zadetkov: 88
Video in druga učna gradiva
Oznake:
computer science;semantic web;data mining
Since working environments are dramatically changing, it is difficult to support collaboration among people. In this talk, I will claim that the context should be efficiently synchronized.
To efficiently support collaborations between people (agents) in real-time, we propose an ontology-based plat ...
Leto:
2013
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
psychoanalysis;politics;fantasy;identity;
Leto:
2011
Vir:
dLib.si Digitalna knjižnica Slovenije
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:
biology;zoology;arachnology
Advances in molecular techniques over the past decades have significantly shaped the field of systematics and taxonomy. Approaches to species delimitation that employ methods like DNA barcoding and generalized mixed Yule coalescent models are seemingly attractive because they present a more simplifi ...
Leto:
2012
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
In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, however, even storing all of the parameters in a single node for the M-step can be impractical. We present a framework which fully distributes the entir ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;web search
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-world problems, the most common approach still employed in practice is coarse discretization of the action space. This paper ...
Leto:
2009
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