Papers
Hamming Compatible Quantization for Hashing
Zhe Wang, Ling-Yu Duan, Jie Lin et al.
Handling Complex Commands as Service Robot Task Requests
Vittorio Perera, Manuela Veloso
Heroic versus Collaborative AI for the Arts
Mark d'Inverno, Jon McCormack
Heuristics for Cost-Optimal Classical Planning Based on Linear Programming
Florian Pommerening, Gabriele Roger, Malte Helmert et al.
H-Index Manipulation by Merging Articles: Models, Theory, and Experiments
René van Bevern, Christian Komusiewicz, Rolf Niedermeier et al.
How Robust Is the Wisdom of the Crowds?
Noga Alon, Michal Feldman, Omer Lev et al.
How to Define Certain Answers
Leonid Libkin
How to Select One Preferred Assertional-Based Repair from Inconsistent and Prioritized DL-Lite Knowledge Bases?
Salem Benferhat, Zied Bouraoui, Karim Tabia
ICBS: Improved Conflict-Based Search Algorithm for Multi-Agent Pathfinding
Eli Boyarski, Ariel Felner, Roni Stern et al.
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison
Jingwei Xu, Yuan Yao, Hanghang Tong et al.
Identification of Time-Dependent Causal Model: A Gaussian Process Treatment
Biwei Huang, Kun Zhang, Bernhard Schölkopf
Image Feature Learning for Cold Start Problem in Display Advertising
Kaixiang Mo, Bo Liu, Lei Xiao et al.
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang, Tim Oates
Impartial Peer Review
David Kurokawa, Omer Lev, Jamie Morgenstern et al.
Implementing the Wisdom of Waze
Shoshana Vasserman, Michal Feldman, Avinatan Hassidim
Improving the Effectiveness of SAT-Based Preprocessing for MaxSAT
Jeremias Berg, Paul Saikko, Matti Järvisalo
Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning
Michael Abseher, Frederico Dusberger, Nysret Musliu et al.
Inapproximability of Treewidth and Related Problems (Extended Abstract)
Yu Wu, Per Austrin, Toniann Pitassi et al.
Incentivizing Peer Grading in MOOCS: An Audit Game Approach
Alejandro Uriel Carbonara, Anupam Datta, Arunesh Sinha et al.
Incorporating Domain and Sentiment Supervision in Representation Learning for Domain Adaptation
Biao Liu, Minlie Huang, Jiashen Sun et al.
Increasingly Cautious Optimism for Practical PAC-MDP Exploration
Liangpeng Zhang, Ke Tang, Xin Yao
Indirect Causes in Dynamic Bayesian Networks Revisited
Alexander Motzek, Ralf Möller
Inducing Probabilistic Relational Rules from Probabilistic Examples
Luc De Raedt, Anton Dries, Ingo Thon et al.