• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 19 matches

• 2015
• 
  Russell G. Almond:
  Tips and Tricks for Building Bayesian Networks for Scoring Game-Based Assessments. AMBN@JSAI-isAI 2015: 250-263
• 
  Alessio Benavoli, Cassio P. de Campos:
  Statistical Tests for Joint Analysis of Performance Measures. AMBN@JSAI-isAI 2015: 76-92
• 
  Patrick Blöbaum, Shohei Shimizu, Takashi Washio:
  Discriminative and Generative Models in Causal and Anticausal Settings. AMBN@JSAI-isAI 2015: 209-221
• 
  Jingguo Dai, Jia Ren:
  Unsupervised Evolutionary Algorithm for Dynamic Bayesian Network Structure Learning. AMBN@JSAI-isAI 2015: 136-151
• 
  Shan Gao, Shin-ichi Minato:
  Factorization of ZDDs for Representing Bayesian Networks Based on d-Separations. AMBN@JSAI-isAI 2015: 168-183
• 
  Zhi-gao Guo, Xiao-Guang Gao, Ruo-hai Di, Yu Yang:
  Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posteriori Method. AMBN@JSAI-isAI 2015: 32-45
• 
  Takashi Isozaki, Manabu Kuroki:
  Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations. AMBN@JSAI-isAI 2015: 196-208
• 
  Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki:
  Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. AMBN@JSAI-isAI 2015: 46-60
• 
  Chao Li, Maomi Ueno:
  A Fast Clique Maintenance Algorithm for Optimal Triangulation of Bayesian Networks. AMBN@JSAI-isAI 2015: 152-167
• 
  Brandon Malone:
  Empirical Behavior of Bayesian Network Structure Learning Algorithms. AMBN@JSAI-isAI 2015: 105-121
• 
  Karthika Mohan, Judea Pearl:
  Missing Data from a Causal Perspective. AMBN@JSAI-isAI 2015: 184-195
• 
  Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano, Maomi Ueno:
  Constraint-Based Learning Bayesian Networks Using Bayes Factor. AMBN@JSAI-isAI 2015: 15-31
• 
  Shohei Shimizu:
  A Non-Gaussian Approach for Causal Discovery in the Presence of Hidden Common Causes. AMBN@JSAI-isAI 2015: 222-233
• 
  Joe Suzuki:
  Efficiently Learning Bayesian Network Structures Based on the B&B Strategy: A Theoretical Analysis. AMBN@JSAI-isAI 2015: 1-14
• 
  Joe Suzuki:
  Forest Learning Based on the Chow-Liu Algorithm and Its Application to Genome Differential Analysis: A Novel Mutual Information Estimation. AMBN@JSAI-isAI 2015: 234-249
• 
  Yun Zhou, John Howroyd, Sebastian Danicic, J. Mark Bishop:
  Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage. AMBN@JSAI-isAI 2015: 93-104
• 
  Yuan Zou, Teemu Roos:
  On Model Selection, Bayesian Networks, and the Fisher Information Integral. AMBN@JSAI-isAI 2015: 122-135
• 
  Yi Zuo, Katsutoshi Yada, Eisuke Kita:
  A Bayesian Network Approach for Predicting Purchase Behavior via Direct Observation of In-store Behavior. AMBN@JSAI-isAI 2015: 61-75
• 
  Joe Suzuki, Maomi Ueno:
  Advanced Methodologies for Bayesian Networks - Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings. Lecture Notes in Computer Science 9505, Springer 2015, ISBN 978-3-319-28378-4 [contents]