Papers
LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning
Marcel Steinmetz, Joerg Hoffmann
LSTM Networks for Online Cross-Network Recommendations
Dilruk Perera, Roger Zimmermann
LTL Realizability via Safety and Reachability Games
Alberto Camacho, Christian Muise, Jorge A. Baier et al.
Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping
Diego De Uña, Nataliia Rümmele, Graeme Gange et al.
Maintenance of Case Bases: Current Algorithms after Fifty Years
Jose M. Juarez, Susan Craw, J. Ricardo Lopez-Delgado et al.
Make Evasion Harder: An Intelligent Android Malware Detection System
Shifu Hou, Yanfang Ye, Yangqiu Song et al.
Managing Communication Costs under Temporal Uncertainty
Nikhil Bhargava, Christian Muise, Tiago Vaquero et al.
Marathon Race Planning: A Case-Based Reasoning Approach
Barry Smyth, Padraig Cunningham
Markov Random Neural Fields for Face Sketch Synthesis
Mingjin Zhang, Nannan Wang, Xinbo Gao et al.
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation
Sen Su, Li Sun, Zhongbao Zhang et al.
Master-Slave Curriculum Design for Reinforcement Learning
Yuechen Wu, Wei Zhang, Ke Song
Matrix completion with Preference Ranking for Top-N Recommendation
Zengmao Wang, Yuhong Guo, Bo Du
Maximin Share Allocations on Cycles
Zbigniew Lonc, Miroslaw Truszczynski
MCTS-Minimax Hybrids with State Evaluations (Extended Abstract)
Hendrik Baier, Mark H. M. Winands
Medical Concept Embedding with Time-Aware Attention
Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam et al.
Medusa: Towards Simulating a Multi-Agent Hide-and-Seek Game
Akshat Tandon, Kamalakar Karlapalem
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
David Keetae Park, Seungjoo Yoo, Hyojin Bahng et al.
Memory Attention Networks for Skeleton-based Action Recognition
Chunyu Xie, Ce Li, Baochang Zhang et al.
MEnet: A Metric Expression Network for Salient Object Segmentation
Shulian Cai, Jiabin Huang, Delu Zeng et al.
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation
Trong Dinh Thac Do, Longbing Cao
Meta-Level Control of Anytime Algorithms with Online Performance Prediction
Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
Methods for off-line/on-line optimization under uncertainty
Allegra De Filippo, Michele Lombardi, Michela Milano
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes
Shun Zhang, Edmund H. Durfee, Satinder Singh