Št. zadetkov: 27
Video in druga učna gradiva
Oznake:
computer science;data mining;statistical & consensus methods
Statistical downscaling is commonly used in climate modeling to obtain high-resolution
spatial projections of future climate scenarios from the coarse-resolution outputs projected by
global climate models. Unfortunately, most of the statistical downscaling approaches using standard regression method ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Over the past few decades, the field of Machine Learning has matured significantly, drawing ideas from several disciplines including Statistics, Optimization, and Artificial Intelligence. Applications of Machine Learning have led to important advances in a wide variety of domains ranging from Intern ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;regression
Regression problems on massive data sets are ubiquitous in many application domains
including the Internet, earth and space sciences, and finances. Gaussian Process regression is a popular technique for modeling the input-output relations of a set of variables under the assumption that the weight ve ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;statistical & consensus methods
This paper takes an empirical approach to identify operational factors at busy airports that may
predate go-around maneuvers. Using four years of data from San Francisco International Airport, we begin our investigation with an analysis of sequence of landing aircraft that may increase the probabili ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;natural language processing
An analysis of the role that the ontology plays in determining verb meaning and semantic roles is presented. The discussion will contrast the current approaches to semantic role labeling using supervised machine learning methods to semantic approaches that rely on the ontology and verb sub-categoriz ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;text mining
With the advent and expansion of social networking, the amount of generated text
data has seen a sharp increase. In order to handle such a huge volume of text data, new and
improved text mining techniques are a necessity. One of the characteristics of text data that makes text mining difficult, is m ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Current methods of drought assessment utilize drought indices, such as the standardized precipitation index and Palmer drought severity index, that rely on subjective thresholds and hence cannot be universally applied across different climatic regions. In addition, most of the existing drought indic ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;crowdsourcing;earth sciences
There is increasing pressure on the science community not only to understand how recent and projected changes in climate are likely to impact our global environment and the natural resources on which we depend, but also to design solutions to mitigate or cope with the likely impacts. Responding to t ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
environment;climate change;computer science;evolutionary computation
I will discuss the challenges in analyzing data in climate science with ever-increasing observational streams from satellites and increasing complexity and resolution in climate models. I will describe specific challenges in climate model parameterization, dealing with multi-model ensembles, the ris ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining
Pressure dipoles in global climate data capture recurring and persistent, large-scale
patterns of pressure and circulation anomalies that span distant geographical areas (teleconnections). In this paper, we present a novel graph based approach called shared reciprocal nearest neighbors that conside ...
Leto:
2011
Vir:
videolectures.net