...学习算法Choosing-a-Machine-Learning-Classifier如何针对某个分类问题决定使用何种机器学习算法？ 当然，如果你真心在乎准确率，最好的途径就是测试一大堆各式各样的算法（同时确保在每个算法上也测试不同的参数），最后选择在交...

...学习算法Choosing-a-Machine-Learning-Classifier如何针对某个分类问题决定使用何种机器学习算法？ 当然，如果你真心在乎准确率，最好的途径就是测试一大堆各式各样的算法（同时确保在每个算法上也测试不同的参数），最后选择在交...

...学习算法Choosing-a-Machine-Learning-Classifier如何针对某个分类问题决定使用何种机器学习算法？ 当然，如果你真心在乎准确率，最好的途径就是测试一大堆各式各样的算法（同时确保在每个算法上也测试不同的参数），最后选择在交...

...学习算法Choosing-a-Machine-Learning-Classifier如何针对某个分类问题决定使用何种机器学习算法？ 当然，如果你真心在乎准确率，最好的途径就是测试一大堆各式各样的算法（同时确保在每个算法上也测试不同的参数），最后选择在交...

... of steps: a sequence of instructions: i.e.: do this first, do this after, etc. An imperative sequence of instructions. Even one line expressions are "an imperative sequence of instructions". If you have an expression with a specific "order of evaluation" then you have steps. It means than even a si...

...e send/received, 2 Java processes just spawned, without assigning specific CPU cores with taskset: TCP - 25 microseconds Named pipes - 15 microseconds Now explicitly specifying core masks, like taskset 1 java Srv or taskset 2 java Cli: TCP, same cores: 30 microsecond...

... not? For some purposes, eg when one is parallelizing using mpi or hadoop etc, the important time is actually the singlecore time, since the mpi/hadoop implementation takes care of parallelizing things. (At least, for me jblas was about 2.5 faster than jama, not 10 times faster than jama as you got...

... if a good match is found at the faster level. file-hash based (md5,sha1,etc) for exact duplicates perceptual hashing (phash) for rescaled images feature-based (SIFT) for modified images I am having very good results with phash. The accuracy is good for rescaled images. It is not good ...

...学习算法Choosing-a-Machine-Learning-Classifier如何针对某个分类问题决定使用何种机器学习算法？ 当然，如果你真心在乎准确率，最好的途径就是测试一大堆各式各样的算法（同时确保在每个算法上也测试不同的参数），最后选择在交...

... used to manage thread-specific memory. The linux kernel uses GS to access cpu-specific memory. share | improve this answer | follow | ...