wshxzt的大学生活
我要灭了ets
wshxzt 发表于 2007-09-25 12:12:09
今天一登录发现变成了早上8点
一点正式的通知都没有！
找房子中……希望渺茫啊
难道我就这样死在ETS手上么
我要灭了ETS
打客服电话过去……人工的也跟自动的差不多了，说来说去就重复那么句
如果你要转考需要交转考费，并且需要有空位
请去网站上看最新通知
靠，这种转考由于他们工作失误造成的凭什么要考生自己承担；还有考生有什么义务成天去那里刷最新通知
SJTU踩点归来
wshxzt 发表于 2007-09-25 00:14:49
从家里到地铁站大约20分钟,从那里到莘庄站大约45分钟,从等车大约15分钟,莘庄坐莘闵线到SJTU大约45分钟,由于天气热,,到SJTU时已经有点绝望了,然后问门卫叔叔IBT考场在哪,被告知一直往右走
于是就一直往右走,走了20来分钟后绝望了,还是没有看到传说中的电教楼,然后往北走了会,问了路上的学生，居然没有一个人知道电教楼或者是IBT考场的,最终还是绝望了,查看手机中是否有SJTU的人,幸运地发现lyj,迅速电话求救(cft lyj@@)接着1就过来了把我送到大门口@@
后来得知IBT考场在巨远无比的南大门那里,门卫蜀黍居然不跟我说一下...就让我往右走!!
hkust二面
wshxzt 发表于 2007-09-23 11:26:29
不过今天从ak处听说这个人以虐学生为乐……以fire学生为乐……难怪现在才2个phd学生，还有个是马上毕业的……1老爸是hkust前校长，所以随便1怎么玩……berkeley给1的心灵带来严重阴影
omg，还是算了吧，我宁愿被延期
又听说McCallum是明年ICML的chair……orz……
CUHK的广告
wshxzt 发表于 2007-09-20 21:01:56
今天才发现
其实我对那个program还是有感情的
至少看到John还是无比高兴的
很激动地说
It's so nice to meet you again!
然后1问我最近干吗
一激动
I'm graduating
1一脸疑惑
Are you graduating
我说
I'm seeking for a doctoral program
其实平时我一定会说graduate program的，为什么那时候直接冒出个doctoral program
然后
I'm also considering to apply for a master first
然后1大概听出我要拿他们当跳板了
That's up to you
然后觉得聊得差不多了，最后又来了句
It's very nice to see you again
然后直接
bye-bye
然后……看到tangtang在门口就蹦蹦跳跳地出去了，手里还拿着没递交的CV……估计John该郁闷了@@
不过……虽然印象中1还是很tough的人……但是今天确实见到1无比高兴……
发现最大概率分词效果也挺好的
wshxzt 发表于 2007-09-18 13:09:32
不过有点肯定的……这些BT的复杂的代价巨大的模型可以灌水养活一大批研究员……利于增加就业岗位形成和谐社会的大好局面
收到UCLA-MSRA活动光盘了
wshxzt 发表于 2007-09-16 23:28:55
想想某人要求我把东西严格缩到5页就觉得很莫名
不过虽然那段时间并不愉快
但是看看光盘还是有点怀念
不知为什么看到光盘就突然想起那个做pagerank组的mentor叫Lin, Zhouchen，号称MSRA数学第一牛人，之前跟tangtang说起来的时候怎么都想不起来1名字@!@
看完光盘甚至有种给某人发mail说我来试下所有kernel吧，好歹要把整个project做完整
hkust面试归来
wshxzt 发表于 2007-09-15 10:18:06
面试地点居然在皇冠假日酒店，米啊
首先说你的GPA很高啊，但是我们对你了解还不多
然后谈谈为什么申请他们学校
我说我讨厌国内的研究环境，国内的style不适合我
不小心用了China这个词……其实把HK也包含进去了，但是我一时没想起来大陆怎么说@@
然后你的研究兴趣
不知道为什么说到I'm interested in这里严重犹豫了下说才出了Machine Learning@@
然后你的英语考试（因为我CV上没写GRE，TOEFL成绩）
然后你的英语很好啊，你怎么学英语的-.-b
然后你知道哪些ust的老师
其实我只是想面着玩玩，增加点面试经验，所以只知道杨强，然后1还问我知道其他什么人，I'm afraid-.-b
然后你对ust的评价
真是FT，我又没去过，我说我classmate去过交流，说那里很不错
然后你是否也在申请美国，如果我们给你offer，你会怎么选择
最FT的一个问题，我说我大概会选择最早的一个offer……说我高中进大学时可以去sjtu或者fdu，事实上sjtu的CS比FDU好，但是fdu的offer给得早所以我选择了FDU
然后对脚踏N只船抱怨N分钟
期间居然说hkust的CS在全球是top的……FT下……之前我评价1拉也只是说1拉在中国是最好的，ust is the most excellent in China，最后字出现时看得出1郁闷了下@.@
然后你的兴趣
programming后觉得是不是该多说点，于是pingpang，画画，一下忘记素描怎么说了，更忘记古筝电子琴怎么说了；事实上我现在除了读paper写程序也没什么其他事了，人生啊
然后1有一个FD毕业的学生很优秀，想给我看主页，然后室内无信号，然后把我赶出来了，
到最后我都不知道1干吗想给我看主页，大概是想说那个MM很优秀，但是没什么课外爱好，他不希望这样
一个问题比一个问题寒，直到问我美国和香港如何选择时就想把1yjtf了
觉得以后去准备面一个学校……至少得了解下那个学校的相关方向的研究和老师，今天幸好至少知道个杨强，否则肯定被yjtf@@
make了个promise说是接受第一个offer……所以……赶快搞定McCallum让1赶在hkust前给我offer，这样也不算悔约了，hoho
不过说不定1拉想把鄙视了，本来应该面20分钟的结果10分钟多点就被赶出来了
Lafferty去MSRA了
wshxzt 发表于 2007-09-11 19:07:20
据说要呆2个月……
回想我8.14时候在干吗..
貌似是几乎天天通宵做实验
突然想起当时见到一个人是挺象Lafferty的....当时觉得外国人嘛都长差不多,所以也没多留意@@
回来后第一次想再去下MSRA........
居然就这样错过了.....否则即使套不到看下活牛也好啊，看1的架势是有点想退出江湖的意思，后悔伤心ing
zz
wshxzt 发表于 2007-09-11 18:59:31
发信人: cczhu (诅咒SARS的葱葱猪), 信区: AI
标 题: AI is DEAD -- Minsky (zz)
发信站: BBS 水木清华站 (Fri May 16 14:59:38 2003), 转信
From: http://www.wired.com/news/technology/01282,58714,00.html
02:00 AM May. 13, 2003 PT
Will we ever make machines that are as smart as ourselves?
"AI has been brain-dead since the 1970s," said AI guru Marvin Minsky in a
recent speech at Boston University. Minsky co-founded the MIT Artificial
Intelligence Laboratory in 1959 with John McCarthy.
Such notions as "water is wet" and "fire is hot" have proved elusive quarry
for AI researchers. Minsky accused researchers of giving up on the immense
challenge of building a fully autonomous, thinking machine.
"The last 15 years have been a very exciting time for AI," said Stuart
Russell, director of the Center for Intelligent Systems at the University
of California at Berkeley, and co-author of an AI textbook, Artificial
Intelligence: A Modern Approach.
Russell, who described Minsky's comments as "surprising and disappointing,"
said researchers who study learning, vision, robotics and reasoning have
made tremendous progress.
AI systems today detect credit-card fraud by learning from earlier
transactions. And computer engineers continue to refine speech recognition
systems for PCs and face recognition systems for security applications.
"We're building systems that detect very subtle patterns in huge amounts of
data," said Tom Mitchell, director of the Center for Automated Learning and
Discovery at Carnegie Mellon University, and president of the American
Association for Artificial Intelligence. "The question is, what is the best
research strategy to get (us) from where we are today to an integrated,
autonomous intelligent agent?"
Unfortunately, the strategies most popular among AI researchers in the
1980s have come to a dead end, Minsky said. So-called "expert systems,"
which emulated human expertise within tightly defined subject areas like
law and medicine, could match users' queries to relevant diagnoses, papers
and abstracts, yet they could not learn concepts that most children know by
the time they are 3 years old.
"For each different kind of problem," said Minsky, "the construction of
expert systems had to start all over again, because they didn't accumulate
common-sense knowledge."
Only one researcher has committed himself to the colossal task of building
a comprehensive common-sense reasoning system, according to Minsky. Douglas
Lenat, through his Cyc project, has directed the line-by-line entry of more
than 1 million rules into a commonsense knowledge base.
"Cyc knows that trees are usually outdoors, that once people die they stop
buying things, and that glasses of liquid should be carried right-side up,"
reads a blurb on the Cyc website. Cyc can use its vast knowledge base to
match natural language queries. A request for "pictures of strong,
adventurous people" can connect with a relevant image such as a man
climbing a cliff.
Even as he acknowledged some progress in AI research, Minsky lamented the
state of the lab he founded more than 40 years ago.
"The worst fad has been these stupid little robots," said Minsky. "Graduate
students are wasting 3 years of their lives soldering and repairing robots,
instead of making them smart. It's really shocking."
"Marvin may have been leveling his criticism at me," said Rodney Brooks,
director of the MIT Artificial Intelligence Lab, who acknowledged that much
of the facility's research is robot-centered.
But Brooks, who invented the automatic vacuum cleaner Roomba, says some
advancements in computer vision and other promising forms of machine
intelligence are being driven by robotics. The MIT AI Lab, for example, is
developing Cog.
Engineers hope the robot system can become self-aware as they teach it to
sense its own physical actions and see a causal relationship. Cog may be
able to "learn" how to do things.
Brooks pointed out that sensor technology has reached a point where it's
more sophisticated and less expensive, so the robots are sensor-laden now.
"Not all of our intelligence is under our conscious control," said Brooks.
"There are many layers of intelligence that don't require introspection."
In other words, the emphasis on common-sense reasoning doesn't apply to
some efforts in the AI field.
AI researchers also may be the victims of their own success. The public
takes for granted that the Internet is searchable and that people can make
airline reservations over the phone -- these are examples of AI at work.
"It's a crazy position to be in," said Martha Pollack, a professor at the
Artificial Intelligence Laboratory at the University of Michigan and
executive editor of the Journal of Artificial Intelligence Research.
"As soon as we solve a problem," said Pollack, "instead of looking at the
solution as AI, we come to view it as just another computer system."
--
当我年轻的时候，我有一个梦想——我希望改变这个世界，
当我渐渐长大以后，我才发现我并没有能力改变这个世界，
于是我又想改变我的家人和朋友，事实证明我的家人和朋友也是不可以改变的。
这时我才意识到我所唯一能够改变的只有我自己，
但是我惊奇且欣喜的发现，
当我改变了自己的时候我就能影响到我的家人和朋友，进而我就能影响到整个世界。
※ 修改:·cczhu 于 May 16 15:00:44 修改本文·[FROM: 202.205.10.10]
※ 修改:·cczhu 于 May 16 15:05:26 修改本文·[FROM: 202.205.10.10]
※ 来源:·BBS 水木清华站 smth.org·[FROM: 202.205.10.10]
折腾了个比word还丑的latex版cv
wshxzt 发表于 2007-09-10 19:08:42
homepage.fudan.edu.cn/~zhiting
谁来告诉我怎么让所有的tabula都对齐呢@@
越来越觉得自己很土，如果不是那个latex logo别人一定不会相信这个是latex做出来的@@
zt不在校内了有小白问题该怎么办呢><
接下来要修改主页上的project说明，然后加个related people@@
话说今天软工也出来了，但是还是没能挽回到3.69，其实3.68和3.69有本质区别么？不过一个B的杀伤力确实很大啊@@
发现专业课我越拜的老师给我分越差
qixipi 编译 B
google 数据挖掘 B＋
李宗葛 大学物理 B＋
蝈蝈 线性代数 A－
duckula 数据库 A－
这个算不算另一种完整呢@@...
又话说今天买晚饭时看到谌中和，有种想冲上去qs1的冲动，大学生涯中见到的最草菅人命的人
