咨询与建议

限定检索结果

文献类型

  • 139 篇 会议
  • 75 篇 期刊文献

馆藏范围

  • 214 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 155 篇 工学
    • 120 篇 计算机科学与技术...
    • 102 篇 软件工程
    • 24 篇 控制科学与工程
    • 23 篇 信息与通信工程
    • 13 篇 生物医学工程(可授...
    • 12 篇 生物工程
    • 10 篇 电气工程
    • 9 篇 光学工程
    • 6 篇 化学工程与技术
    • 5 篇 材料科学与工程(可...
    • 5 篇 航空宇航科学与技...
    • 4 篇 仪器科学与技术
    • 4 篇 土木工程
  • 81 篇 理学
    • 49 篇 数学
    • 24 篇 统计学(可授理学、...
    • 18 篇 生物学
    • 14 篇 物理学
    • 7 篇 化学
    • 4 篇 系统科学
  • 40 篇 管理学
    • 24 篇 图书情报与档案管...
    • 15 篇 管理科学与工程(可...
    • 8 篇 工商管理
  • 14 篇 医学
    • 12 篇 临床医学
    • 8 篇 基础医学(可授医学...
    • 4 篇 公共卫生与预防医...
    • 4 篇 药学(可授医学、理...
  • 11 篇 教育学
    • 11 篇 教育学
  • 10 篇 法学
    • 9 篇 社会学
  • 7 篇 文学
    • 6 篇 中国语言文学
    • 6 篇 外国语言文学
  • 5 篇 农学

主题

  • 10 篇 bayesian network...
  • 8 篇 computer science
  • 8 篇 students
  • 8 篇 sentiment analys...
  • 5 篇 semantics
  • 5 篇 feature extracti...
  • 5 篇 artificial intel...
  • 5 篇 intelligent syst...
  • 4 篇 learning algorit...
  • 4 篇 speech recogniti...
  • 4 篇 computer vision
  • 3 篇 conferences
  • 3 篇 machine translat...
  • 3 篇 reinforcement le...
  • 3 篇 markov processes
  • 3 篇 databases
  • 3 篇 machine learning
  • 3 篇 emotion recognit...
  • 3 篇 mathematical mod...
  • 3 篇 robustness

机构

  • 30 篇 intelligent syst...
  • 30 篇 intelligent syst...
  • 18 篇 department of co...
  • 16 篇 department of co...
  • 8 篇 decision systems...
  • 7 篇 intelligent syst...
  • 6 篇 intelligent syst...
  • 6 篇 intelligent cont...
  • 6 篇 department of co...
  • 5 篇 intelligent syst...
  • 5 篇 intelligent syst...
  • 4 篇 school of comput...
  • 4 篇 magna design net...
  • 4 篇 intelligent syst...
  • 4 篇 rudn university ...
  • 4 篇 school of law un...
  • 3 篇 school of law du...
  • 3 篇 department of co...
  • 3 篇 computer science...
  • 3 篇 dept. of compute...

作者

  • 23 篇 wiebe janyce
  • 15 篇 hauskrecht milos
  • 11 篇 druzdzel marek j...
  • 9 篇 wilson theresa
  • 9 篇 kovashka adriana
  • 8 篇 deng lingjia
  • 8 篇 hwa rebecca
  • 7 篇 ashley kevin d.
  • 7 篇 pollack martha e...
  • 7 篇 savelka jaromir
  • 7 篇 sicilia anthony
  • 6 篇 mikhail khachumo...
  • 6 篇 ashley kevin
  • 6 篇 litman diane
  • 6 篇 mohit behrang
  • 6 篇 somasundaran swa...
  • 5 篇 kveton branislav
  • 5 篇 khachumov mikhai...
  • 5 篇 hwang seong jae
  • 5 篇 buettner kyle

语言

  • 203 篇 英文
  • 10 篇 其他
  • 1 篇 中文
检索条件"机构=Computer Science and Intelligent Systems Program"
214 条 记 录,以下是121-130 订阅
排序:
Sentiment propagation via implicature constraints
Sentiment propagation via implicature constraints
收藏 引用
14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014
作者: Deng, Lingjia Wiebe, Janyce Intelligent Systems Program University of Pittsburgh United States Department of Computer Science University of Pittsburgh United States
Opinions may be expressed implicitly via inference over explicit sentiments and events that positively/negatively affect entities (goodFor/badFor events). We investigate how such inferences may be exploited to improve... 详细信息
来源: 评论
A Conceptual Framework for Inferring Implicatures  5
A Conceptual Framework for Inferring Implicatures
收藏 引用
5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
作者: Wiebe, Janyce Deng, Lingjia Department of Computer Science University of Pittsburgh United States Intelligent Systems Program University of Pittsburgh United States
While previous sentiment analysis research has concentrated on the interpretation of explicitly stated opinions and attitudes, this work addresses a type of opinion implicature (i.e., opinion-oriented default inferenc... 详细信息
来源: 评论
An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar !  5
An Investigation for Implicatures in Chinese : Implicatures ...
收藏 引用
5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
作者: Deng, Lingjia Wiebe, Janyce Intelligent Systems Program University of Pittsburgh United States Department of Computer Science University of Pittsburgh United States
Implicit opinions are commonly seen in opinion-oriented documents, such as political editorials. Previous work have utilized opinion inference rules to detect implicit opinions evoked by events that positively/negativ... 详细信息
来源: 评论
An optimization-based framework to learn conditional random fields for multi-label classification  14
An optimization-based framework to learn conditional random ...
收藏 引用
14th SIAM International Conference on Data Mining, SDM 2014
作者: Naeini, Mahdi Pakdaman Batal, Iyad Liu, Zitao Hong, Charmgil Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh United States General Electric Global Research Center United States Department of Computer Science University of Pittsburgh United States
This paper studies multi-label classification problem in which data instances are associated with multiple, possibly high-dimensional, label vectors. This problem is especially challenging when labels are dependent an... 详细信息
来源: 评论
Designing engaging camera based mobile games for implicit heart rate monitoring
Designing engaging camera based mobile games for implicit he...
收藏 引用
32nd Annual ACM Conference on Human Factors in Computing systems, CHI EA 2014
作者: Han, Teng Canny, John Shi, Lanfei Wang, Jingtao Xiao, Xiang Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States Computer Science Division UC Berkeley Berkeley CA 94720 United States Computer Science University of Pittsburgh Pittsburgh PA 15260 United States
Heart rate monitoring is widely used in clinical care, fitness training, and stress management. However, tracking individuals' heart rate faces two major challenges, namely equipment availability and user motivati... 详细信息
来源: 评论
An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs  27
An empirical evaluation of costs and benefits of simplifying...
收藏 引用
27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014
作者: Ratnapinda, Parot Druzdzel, Marek J. Decision Systems Laboratory School of Information Sciences and Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Faculty of Computer Science Bialystok University of Technology Wiejska 45A Bialystok15-351 Poland
We report the results of an empirical evaluation of structural simplification of Bayesian networks by removing weak arcs. We conduct a series of experiments on six networks built from real data sets selected from the ... 详细信息
来源: 评论
Integrating knowledge tracing and item response theory: A tale of two frameworks  22
Integrating knowledge tracing and item response theory: A ta...
收藏 引用
Workshop of the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014
作者: Khajah, Mohammad M. Huang, Yun González-Brenes, José P. Mozer, Michael C. Brusilovsky, Peter Department of Computer Science Institute of Cognitive Science University of Colorado BoulderCO80309-0430 United States Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Digital Data Analytics and Adaptive Learning Pearson Research and Innovation Network PhiladelphiaPA19103 United States
Traditionally, the assessment and learning science commu-nities rely on different paradigms to model student performance. The assessment community uses Item Response Theory which allows modeling different student abil... 详细信息
来源: 评论
The bregman variational dual-tree framework
The bregman variational dual-tree framework
收藏 引用
29th Conference on Uncertainty in Artificial Intelligence, UAI 2013
作者: Amizadeh, Saeed Thiesson, Bo Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15213 United States Department of Computer Science Aalborg University Aalborg Denmark Department of Computer Science University of Pittsburgh Pittsburgh PA 15213 United States
Graph-based methods provide a powerful tool set for many non-parametric frameworks in Machine Learning. In general, the memory and computational complexity of these methods is quadratic in the number of examples in th... 详细信息
来源: 评论
Implementation of Rössler chaotic system through inherent exponential nonlinearity of a diode with two-channel chaotic synchronization applications
Implementation of Rössler chaotic system through inherent e...
收藏 引用
International Conference on intelligent Control and Information Processing (ICICIP)
作者: S. Larptwee W. San-Um Engineering Program and Basic Science Department Faculty of Engineering Thai-Nichi Institute of Technology Thailand Intelligent Electronic Systems Research laboratory and Computer Engineering Department Faculty of Engineering Thai-Nichi Institute of Technology Bangkok Thailand
This paper presents a new Rössler chaotic system using exponential nonlinearity and its application to two-channel synchronization. The proposed chaotic system exhibits a chaotic attractor that resembles the orig... 详细信息
来源: 评论
A spectral learning approach to knowledge tracing  6
A spectral learning approach to knowledge tracing
收藏 引用
6th International Conference on Educational Data Mining, EDM 2013
作者: Falakmasir, Mohammad H. Pardos, Zachary A. Gordon, Geoffrey J. Brusilovsky, Peter Intelligent Systems Program University of Pittsburgh 210 South Bouquet Street PittsburghPA United States Computer Science AI Lab Massachusetts Institute of Technology 77 Massachusetts Ave CambridgeMA02139 United States Machine Learning Department Carnegie Mellon University 5000 Forbes Avenue PittsburghPA15213 United States School of Information Sciences University of Pittsburgh 135 North Bellefield Ave. PittsburghPA15260 United States
Bayesian Knowledge Tracing (BKT) is a common way of determining student knowledge of skills in adaptive educational systems and cognitive tutors. The basic BKT is a Hidden Markov Model (HMM) that models student knowle... 详细信息
来源: 评论