Juliashine — Thu, 29 Mar 2007 07:06:00 GMT

1、IE有全局event对象window.event�Q�FF没有�Q�FF中的 event 只能在事件发生的现场使用�Q�即必须通过事�g�l�定函数的参数来使用�?br />

<input type="text" name="input_content" onkeydown="exeCode(event)"/>

<script language="javascript">
function exeCode() {
  //取得事�g对象
  var event = arguments[0] || window.event;
  //取得事�g的发生源对象
  var element = event.srcElement || event.target�Q?br />}
script>

2、FireFox下没有preserveWhiteSpace�q�个属性，�?把空白也当作一个节炏V��而IE则默认�ؓfalse�Q�即把空白不看成一个节炏V��所以在FireFox下previousSibling可能是空白节点，除非两个HTML标签之间没有��M��形式的空根{�?br />
3、IE下可以用document.frames("name").document的方式取得frame中所嵌页面的document对象�Q�FF下却会得到null�Q�解决的的办法是document.getElementById(framename).contentWindow.document�Q�也可以使用
window.frames[frameName].document 直接获取frame里的document对象

最后推荐一��文章：Javascript的IE和Firefox兼容性汇�~?/a>

Juliashine 2007-03-29 15:06 发表评论

Juliashine — Thu, 21 Dec 2006 07:13:00 GMT

在Hibernate中配�|�Proxool�q�接�?br />1�Q�在applicationContext.xml中配�|�SessionFactory



            org.hibernate.dialect.Oracle9Dialect
            true

            conf/proxool.properties

            This explaination comes from one of our algorithm engineers:

"The ROC analysis applies to binary classification problems. One of the classes is selected as a "positive" one. The ROC chart plots the true positive rate as a function of the false positive rate. It is parametrized by the probability threshold values. The true positive rate represents the fraction of positive cases that were correctly classified by the model. The false positive rate represents the fraction of negative cases that were incorrectly classified as positive. Each point on the ROC plot represents a true_positive_rate/false_positive_rate pair corresponding to a particular probability threshold. Each point has a corresponding confusion matrix. The user can analyze the confusion matrices produced at different threshold levels and select a probability threshold to be used for scoring. The probability threshold choice is usually based on application requirements (i.e., acceptable level of false positives).

The ROC does not represent a model. Instead it quantifies its discriminatory ability and assists the user in selecting an appropriate operating point for scoring."

I would add to this that you can select a threshold point the build activity to bias the apply process. Currently we generate a cost matrix based on the selected threshold point rather than use the threshold point directly.http://forums.oracle.com/forums/thread.jspa?threadID=415870&tstart=15

Juliashine 2006-12-12 14:25 发表评论

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