无需猜测你戴哪副眼镜最好看，使用eBay的iPhone时尚应用程序，可以尝试将你戴不同眼镜的样子生成图片。
You don't need to guess which pair looks best on you — use the eBay Fashion iPhone app to try a pair of glasses you're checking out on a picture of your face.
有了通过猜测获得的字母和数字列表后，就可以应用标准文本处理工具和信息查找来提取有用信息。
Once we have this list of best-guess letters and Numbers, we can apply standard text-processing tools and informational lookups to extract useful information.
如果猜测正确，应用程序就重新开始。
If the guess is right, the application returns to the beginning.
如果您猜测数据集包含不正确的数据，那么可以应用偏差检测进行数据清洗，从而发现数据库中不正确的条目。
If you assume that your dataset contains incorrect data, then you can apply deviation detection for data cleansing, thereby finding incorrect entries in your database.
有时这使得Ripley可以提前猜测客户端应用的下一步请求并提前推送数据给客户端。
Sometimes this allows Ripley to predict what the next client-side application request will be before it has even been made by the client, and preemptively push data to the client.
这时候，应用程序猜测用户心里想的就是最后一项。
At that point, the application guesses that the user was thinking of the final item.
2010年，社会媒体将会更受欢迎，更多的手机应用，也更具排他性- - -至少，这是我的猜测。
In 2010, social media will get even more popular, more mobile, and more exclusive - at least, that's my guess.
当用户告诉应用程序猜测错误时，要显示这个表单，它会调用get_new _ target函数，见清单3。
You'll display that form when the user tells the application that it guessed wrong, which calls the get_new_target function, as in Listing 3.
换句话说，如果应用程序猜测“ahousecat”，而用户说它是“a lion”，就需要告诉知识库：如果对“Isitwild ？”针对“a house cat”的答案是“No”(见清单7)。
In other words, if the application guessed "a house cat" and you said it was "a lion", you need to tell the knowledge base that the answer to "is it wild?" is "no" for "a house cat" (see Listing 7).
我们会猜测如果你排斥Email，你会想在协同移动应用上得到类似结果。
We'd guess that if you exclude email, you'd get similar results for corporate mobile apps.
有人猜测当网页可以在手机上很好的显示融合的时候，应用程序可能会渐渐消失。
There has been speculation that apps may fade when new websites designed to work better on mobile devices appear.
猜测：是不是只是在云端托管数据库，但最终还是在数据库终端打补丁，因此做法跟普通数据库应用补丁集并没有太大区别？
Guess: Probably we host database in cloud but again at the end its database, hence have to apply patch like we do on-premises.?
背景资料概要：非线性有限元模型被报道来猜测体外的椎体强度，但尚未应用于临床。
Summary of Background Data. FEM has been reported to predict vertebral strength in vitro, but has not been used clinically.
我的猜测应用随机填充，准确地使其更安全。
My guess is that it's applying randomized padding, precisely to make it more secure.
我的猜测应用随机填充，准确地使其更安全。
My guess is that it's applying randomized padding, precisely to make it more secure.
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