Št. zadetkov: 53
Izvirni znanstveni članek
Oznake:
elektroerozijska obdelava;titanove zlitine;hrapavost površine;modeliranje;optimizacija;umetne nevronske mreže;adaptivni nevromehki sistem sklepanja;Raov algoritem;Jayev algoritem;electrical-discharge machining (EDM);Titanium alloy;surface roughness;modelling;optimization;artificial neural networks (ANN);adaptive neuro fuzzy inference system (ANFIS);Rao algorithm;Jaya algorithm;
Advanced modeling and optimization techniques are imperative today to deal with complex machining processes like electric discharge machining (EDM). In the present research, Titanium alloy has been machined by considering different electrical input parameters to evaluate one of the important surface ...
Leto:
2021
Vir:
Digitalna knjižnica Univerze v Mariboru (DKUM)
Video in druga učna gradiva
Oznake:
computer science;machine learning
The area under the ROC curve (AUC) is a widely used performance measure in machine learning, and has been widely studied in recent years particularly in the context of bipartite ranking. A dominant theoretical and algorithmic framework for AUC optimization/bipartite ranking has been to reduce the pr ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Linear programming relaxations are one promising approach to solving the MAP estimation problem in Markov random fields; in particular, a body of past work has focused on the first-order tree-based LP relaxation for the MAP problem. Although a variety of algorithms with interesting connections to th ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;social computing;social media;network analysis;social networks
We present a novel problem of searching for ‘familiar
strangers’ in a social network. Familiar strangers are individuals
who are not directly connected but exhibit some similarity.
The power-law nature of social networks determines that
majority of individuals are directly connected with a small
num ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
We propose a novel statistical method to predict large scale dyadic response variables in the presence of covariate information. Our approach simultaneously incorporates the effect of covariates and estimates local structure that is induced by interactions among the dyads through a discrete latent f ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;recommender systems
We propose a novel latent factor model to accurately predict response for large scale dyadic data in the presence of features. Our approach is based on a model that predicts response as a multiplicative function of row and column latent factors that are estimated through separate regressions on know ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;algorithmic information theory
We consider the problem of estimating rates of rare events for high dimensional, multivariate categorical data where several dimensions are hierarchical. Such problems are routine in several data mining applications including computational advertising, our main focus in this paper. We propose \NEWMO ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;computational learning theory;data mining
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is modular; by changing the internals of a single subroutine in the algorithm, we can switch cost functions and target spaces ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;image analysis
We will describe our ongoing work on learning-based methods for recovering 3D human body pose and motion from single images and from monocular image sequences. The methods work directly with raw image observations and require neither an explicit 3D body model nor a prior labelling of body parts in t ...
Leto:
2004
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;structured data;bioinformatics;computational systems biology
Here, we presume that there is some valuable information encoded
in the network; the problem is simply to find it. One approach for doing
so is to draw a full diagram of the network, since this can, if clearly drawn,
contain all of the recorded information. However, an unambiguous diagram is
only fe ...
Leto:
2010
Vir:
videolectures.net