The algorithm ID3 (Quinlan) uses the method top-down induction of decision trees. Given a set of classified examples a decision tree is induced, biased by the information gain measure, which heuristically leads to small trees. The examples are given in attribute-value representation. The set of possible classes is finite. Only tests, that split the set of instances of the underlying example languages depending on the value of a single attribute are supported.
標簽： algorithm induction decision top-down
上傳時間： 2017-08-20
上傳用戶：hzy5825468
在圖形中若于個邊(edge)上加上一些值，此數值稱為比重( weight ) 。而此圖形稱為比重圖形(Weight Graph ) ，若weight是成本( cost )或距離( distance ) ，則稱此圖形為網路( Network )。根據Spanning Tree的定義，知一個圖形可有許多不同spanning tree ，在network中找出一個具有最小成本( Cost )的Spanning tree ，則此Spanning tree稱為最小成本生成樹。
上傳時間： 2013-12-28
上傳用戶：Shaikh
Complete coverage of all four CCNP exams: ? EIGRP, OSPF, IS-IS, and BGP ? Optimizing routing ? IP multicast ? IPv6 ? VLAN implementation ? Spanning Tree ? InterVLAN routing ? Layer 3 redundancy ? Wireless LANs ? VoIP in campus networks ? Campus network security ? Frame-mode MPLS ? IPsec ? Cisco device hardening ? Cisco IOS? threat defenses ? Cisco VoIP ? QoS and AutoQoS ? Wireless scalability
標簽： Optimizing Complete coverage routing
上傳時間： 2017-09-26
上傳用戶：cuibaigao
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
標簽： 計算機視覺
上傳時間： 2015-03-15
上傳用戶：sb_zhang
利用aiNet執行資源聚類的算法分為兩部分：第一部分是aiNet學習算法，如上所述；第二部分是在獲得記憶細胞矩陣M和Ab-Ab之間的dij矩陣S基礎上，實現連通圖的剪枝聚類。 定義 1 無向連通圖G：在形態空間Sw上，以M中抗體對應的點為G的頂點，每對抗體之間的親和力dij為G中兩點連接邊的權值。 定義2 最小生成樹：包含連通圖G中所有頂點的一個子圖稱為G的一棵生成樹T。生成樹中所用邊的權值為生成樹的權。權最小的生成樹定義為最小生成樹(Minimum spanning tree，MST)。
上傳時間： 2015-05-12
上傳用戶：weizhuofu
IPC 標準中包含眾多的內容，為方便用戶使用，其為用戶提共了這份目錄。
上傳時間： 2015-07-04
上傳用戶：accer
VIP+ is support software for YAMAHA RCX series robot controllers. In addition to the functions of the previously released "VIP Windows" software, VIP+ includes an easy-to-use GUI (graphical user interface). VIP+ also allows control by 2 or more controllers or access to a controller from 2 or more clients via Ethernet connection. ● With VIP+ you can: ? Do offline editing of all data used on robot controllers ? Operate and monitor robots connected to robot controllers ? Do online editing of all data used with robot controllers ? Back up and restore robot controller data ● Functions and features newly added to VIP+: ? Ethernet connection to controllers ? Supports data input in spreadsheet software format ? Seamless backup and restoring of controller information such as point data ? Syntax coloring ? Data transfer between the online controller and an offline document by drag & drop ? Executes online commands using a terminal window ? Controller tree and document tree functions similar to Windows Explorer
標簽： 雅馬哈 VIPplus
上傳時間： 2015-11-18
上傳用戶：anncol
對[1]的matlab實現，有所改動，在計算新的點是否屬于平面時用點到平面的距離替換MSE，親測精度不變計算時間大大減少。 referenece [1]Junhao Xiao, Jianhua Zhang and Jianwei Zhang，'Fast Plane Detection for SLAM from Noisy Range Images in Both Structured and Unstructured Environments',IEEE International Conference on Mechatronics & Automation,2011:1768-1773
上傳時間： 2016-06-01
上傳用戶：李先生的大香港
dhtmlx標準版源碼，包含tree、form、grid等常用插件
上傳時間： 2017-05-09
上傳用戶：jiangjun0817
This book examines the technologies underlying the compression and trans- mission of digital video sequences over networking platforms. The incorporated study covers a large spectrum of topics related to compressed video communica- tions. It presents to readers a comprehensive and structured analysis of the issues encountered in the transmission of compressed video streams over networking environments.
標簽： Compressed Video Communications
上傳時間： 2020-05-26
上傳用戶：shancjb
