Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
標簽： experimental generation advances enormous
上傳時間： 2016-10-23
上傳用戶：wkchong
This paper presents a visual based localization mechanism for a legged robot. Our proposal, fundamented on a probabilistic approach, uses a precompiled topological map where natural landmarks like doors or ceiling lights are recognized by the robot using its on-board camera. Experiments have been conducted using the AIBO Sony robotic dog showing that it is able to deal with noisy sensors like vision and to approximate world models representing indoor ofce environments. The two major contributions of this work are the use of this technique in legged robots, and the use of an active camera as the main sensor
標簽： localization mechanism presents proposal
上傳時間： 2016-11-04
上傳用戶：dianxin61
Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering techniques that are frequently used in data mining have been developed in machine learning research community. Frequent pattern and association rule mining is one of the few excep- tions to this tradition. The introduction of this technique boosted data mining research and its impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting with Apriori-like algorithm is the fi rst thing that data miners try to do.
標簽： 64257 algorithms decision pattern
上傳時間： 2014-01-12
上傳用戶：wangdean1101
Family Tree This a geneology program for entering your family tree. It s a complete working app but has no reports within it. You can add pictures and name the individuals in the pictures using a really cool frame and name technique. You can also add census information and lots more.
標簽： geneology entering complete program
上傳時間： 2016-12-16
上傳用戶：www240697738
measure through the cross-entropy of test data. In addition, we introduce two novel smoothing techniques, one a variation of Jelinek-Mercer smoothing and one a very simple linear interpolation technique, both of which outperform existing methods.
標簽： cross-entropy introduce smoothing addition
上傳時間： 2014-01-06
上傳用戶：qilin
(1 . Higher Educati on Admissi on Committee Office of L ianyungang,L ianyungang 222006, China 2 . Modern Educati on technique Center, Huaihai I nstitute of Technol ogy, L ianyungang 222005, China) Abstract: The outbreak ofARP cheating virus interferes with the nor mal functi oning of LAN. On the basis of thoroughly und standing of the p rinci p les, this paper analyzes the p rinci p les, pattern and classificati ons ofARP in details . And it also discu the tactics t o take strict p recauti ons ofARP fr om t wo sides— — —the administrati on ofLAN and Client Host . The pur pose of the cussi on is t o guarantee the normal running of LAN users . Key words: virus p rinci p les LAN client host
標簽： ianyungang Committee Educati Admissi
上傳時間： 2013-12-23
上傳用戶：zhangyigenius
包含了H.264編碼標準的兩篇文章，是講多描述編碼的。An Effective Epipolar Geometry Assisted Motion Estimation technique for Multi-View Image and Video Coding和An Epipolar Geometry-Based Fast Disparity Estimation Algorithm for Multiview Image and Video Coding
上傳時間： 2014-12-21
上傳用戶：saharawalker
This sample shows different ways of performing anti-aliasing - both by using only the native hardware AA support, and by mixing the hardware modes with additional supersampling. There are various ways in which the supersampled image can be down-sampled. The way we do the downsampling in this example is the same technique that was used in 2 of our latest launch demos – “Froggy” and “Adrianne”.
標簽： anti-aliasing performing different sample
上傳時間： 2014-01-11
上傳用戶：haohaoxuexi
aiParts is a set of C++ classes that can be used to develop artificial intelligence for multi-decision problems. It includes classes that implement the High-Hope technique and some sample programs.
標簽： intelligence multi-decisi artificial aiParts
上傳時間： 2017-02-20
上傳用戶：徐孺
observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state estimation are generated by the ladder iterative technique. Two methods for the state estimation are analyzed: Weighted Least Squares and Extended Kalman Filter. Both estimators try to find the most probable state based on the available measurements. The result is that the Kalman filter mostly needs less iterations and calculation time. The disadvantage of the Kalman filter is that it needs some foreknowlegde about the state.
標簽： distribution observable grid investigated
上傳時間： 2014-12-08
上傳用戶：ls530720646
