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- What are Learning Classifier Systems? 什麼是分類(lèi)元系統?
- Listing 1 shows what a simple document classifier might look like. 清單1說(shuō)明了一個(gè)簡(jiǎn)單的文檔分類(lèi)程序可能是什么樣子。
- This classifier has a normal mind and has been trained 12 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)12次訓練。
- This classifier has a complex mind and has been trained 8 times. 這個(gè)云形狀分級器有一個(gè)高級的頭腦而受過(guò)8次訓練。
- This classifier has a complex mind and has been trained 50 times. 這個(gè)云形狀分級器有一個(gè)高級的頭腦而受過(guò)50次訓練。
- This classifier has a complex mind and has been trained 29 times. 這個(gè)云形狀分級器有一個(gè)高級的頭腦而受過(guò)29次訓練。
- This classifier has a simple mind and has been trained 1254 times. 這個(gè)云形狀分級器有一個(gè)基本的頭腦而受過(guò)1254次訓練。
- This classifier has a complex mind and has been trained 44 times. 這個(gè)云形狀分級器有一個(gè)高級的頭腦而受過(guò)44次訓練。
- This classifier has a normal mind and has been trained 23 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)23次訓練。
- This classifier has a normal mind and has been trained 0 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)0次訓練。
- This classifier has a normal mind and has been trained 69 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)69次訓練。
- This classifier has a simple mind and has been trained 36 times. 這個(gè)云形狀分級器有一個(gè)基本的頭腦而受過(guò)36次訓練。
- This classifier has a normal mind and has been trained 7 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)7次訓練。
- This classifier has a complex mind and has been trained 13 times. 這個(gè)云形狀分級器有一個(gè)高級的頭腦而受過(guò)13次訓練。
- This classifier has a normal mind and has been trained 425 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)425次訓練。
- This classifier has a normal mind and has been trained 24 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)24次訓練。
- This classifier has a normal mind and has been trained 22 times. 這個(gè)云形狀分級器有一個(gè)普通的頭腦而受過(guò)22次訓練。
- Finally, weighted Euclidean distance classifier is utilizedin recognition. 最后利用加權歐氏距離分類(lèi)器進(jìn)行識別。
- It allows you to show how a class or another classifier is internally composed. 它允許你顯示一個(gè)類(lèi)或另外的一個(gè)分類(lèi)器如何在內部構成。
- Their interaction brings up the abundant use of "one classifier for mult... 四者彼此交互作用,導致"一量多物"的大量使用。