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Publication search results
found 787 matches
- 2017
- Tian Tian, Ning Chen, Jun Zhu:
Learning Attributes from the Crowdsourced Relative Labels. AAAI 2017: 1562-1568 - Ashok K. Goel, Belén Díaz-Agudo:
What's Hot in Case-Based Reasoning. AAAI 2017: 5067-5069 - Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar:
Progressive Prediction of Student Performance in College Programs. AAAI 2017: 1604-1610 - Tobias Friedrich, Timo Kötzing, Markus Wagner:
A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. AAAI 2017: 801-807 - Hang Ma, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Delay Probabilities. AAAI 2017: 3605-3612 - Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton:
Phase Transitions for Scale-Free SAT Formulas. AAAI 2017: 3893-3899 - Tobias Friedrich, Frank Neumann:
What's Hot in Evolutionary Computation. AAAI 2017: 5064-5066 - Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter:
Anytime Best+Depth-First Search for Bounding Marginal MAP. AAAI 2017: 3775-3782 - Radu Marinescu, Abdul Razak, Nic Wilson:
Multi-Objective Influence Diagrams with Possibly Optimal Policies. AAAI 2017: 3783-3789 - Lin Chen, Seyed Hamed Hassani, Amin Karbasi:
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. AAAI 2017: 1798-1804 - Zheng Xu, Junzhou Huang:
A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. AAAI 2017: 2803-2809 - Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu:
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. AAAI 2017: 3104-3110 - Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. AAAI 2017: 2688-2694 - Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami:
Market Pricing for Data Streams. AAAI 2017: 291-297 - Tameem Adel, Cassio P. de Campos:
Learning Bayesian Networks with Incomplete Data by Augmentation. AAAI 2017: 1684-1690 - Tameem Adel, Han Zhao, Alexander Wong:
Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. AAAI 2017: 1691-1697 - Somak Aditya:
Explainable Image Understanding Using Vision and Reasoning. AAAI 2017: 5028-5029 - Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain:
Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. AAAI 2017: 1698-1704 - Meysam Aghighi, Christer Bäckström:
Plan Reordering and Parallel Execution - A Parameterized Complexity View. AAAI 2017: 3540-3546 - David W. Aha, Alexandra Coman:
The AI Rebellion: Changing the Narrative. AAAI 2017: 4826-4830 - Abdullah Al-Dujaili, Suresh Sundaram:
Embedded Bandits for Large-Scale Black-Box Optimization. AAAI 2017: 758-764 - Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn:
Natural Language Acquisition and Grounding for Embodied Robotic Systems. AAAI 2017: 4349-4356 - Rabah A. Al-Zaidy, C. Lee Giles:
A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents. AAAI 2017: 4644-4649 - Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi:
Predicting Latent Narrative Mood Using Audio and Physiologic Data. AAAI 2017: 948-954 - Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu:
Examples-Rules Guided Deep Neural Network for Makeup Recommendation. AAAI 2017: 941-947 - Michael Albert, Vincent Conitzer, Peter Stone:
Automated Design of Robust Mechanisms. AAAI 2017: 298-304 - Francesco Aldà, Benjamin I. P. Rubinstein:
The Bernstein Mechanism: Function Release under Differential Privacy. AAAI 2017: 1705-1711 - Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan:
Incentivising Monitoring in Open Normative Systems. AAAI 2017: 305-311 - Scott Alfeld, Xiaojin Zhu, Paul Barford:
Explicit Defense Actions Against Test-Set Attacks. AAAI 2017: 1274-1280 - Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik:
Envy-Free Mechanisms with Minimum Number of Cuts. AAAI 2017: 312-318
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