图 书 馆
数据挖掘的未来之战The Battle for the Future of Data Mining |
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| 课程网址: | http://videolectures.net/kdd2014_etzioni_data_mining/ |
| 主讲教师: | Oren Etzioni |
| 开课单位: | 艾伦人工智能研究所 |
| 开课时间: | 2014-10-07 |
| 课程语种: | 英语 |
| 中文简介: |  深度学习已跃升至《纽约时报》的首页，形成了所谓“ Google大脑”的核心，并在视觉，语音识别等方面取得了令人瞩目的成果。然而研究人员提出了简单的难题，深度学习无法解决。例如，考虑以下句子：“大球因为是泡沫聚苯乙烯而坠落在桌子上。”什么是聚苯乙烯泡沫塑料制成的？大球？还是桌子？答案显然是“桌子”，但如果将“发泡胶”一词更改为“钢”，答案显然是“大球”。为了自动回答此类问题，我们的计算机需要广泛的知识体系。我们认为文本挖掘可以提供必要的知识体系。我的演讲将描述新成立的艾伦AI研究所在构建下一代文本挖掘系统方面的工作。 |
| 课程简介: | Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called 'Google brain', and achieved impressive results in vision, speech recognition, and elsewhere. Yet researchers have offered simple conundrums that deep learning doesn't address. For example, consider the sentence: 'The large ball crashed right through the table because it was made of Styrofoam.' What was made of Styrofoam? The large ball? Or the table? The answer is obviously 'the table', but if we change the word 'Styrofoam' to 'steel', the answer is clearly 'the large ball'. To automatically answer this type of question, our computers require an extensive body of knowledge. We believe that text mining can provide the requisite body of knowledge. My talk will describe work at the new Allen Institute for AI towards building the next-generation of text-mining systems. |
| 关 键 词: | 数据挖掘; 深度学习; AI研究 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-10-28：zyk |
| 最后编审: | 2020-10-28：zyk |
| 阅读次数: | 41 |