Papers
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
Minimizing Adaptive Regret with One Gradient per Iteration
Guanghui Wang, Dakuan Zhao, Lijun Zhang
Mining Streaming and Temporal Data: from Representation to Knowledge
Xiangliang Zhang
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference
Prachi Jain, Shikhar Murty, Mausam et al.
Mixed Causal Structure Discovery with Application to Prescriptive Pricing
Wei Wenjuan, Feng Lu, Liu Chunchen