- 2007
- Hiroki Arimura, Takeaki Uno, Shinichi Shimozono:
Time and Space Efficient Discovery of Maximal Geometric Graphs. Discovery Science 2007: 42-55 - Paulo J. Azevedo, Alípio Mário Jorge:
Iterative Reordering of Rules for Building Ensembles Without Relearning. Discovery Science 2007: 56-67 - Avrim Blum:
A Theory of Similarity Functions for Learning and Clustering. Discovery Science 2007: 39 - Mario Boley:
On Approximating Minimum Infrequent and Maximum Frequent Sets. Discovery Science 2007: 68-77 - Thomas G. Dietterich:
Machine Learning in Ecosystem Informatics. Discovery Science 2007: 9-25 - Haytham Elghazel, Hamamache Kheddouci, Véronique Deslandres, Alain Dussauchoy:
A Partially Dynamic Clustering Algorithm for Data Insertion and Removal. Discovery Science 2007: 78-90 - Satoshi Fujishima, Yoshimasa Takahashi, Takashi Okada:
Pharmacophore Knowledge Refinement Method in the Chemical Structure Space. Discovery Science 2007: 243-247 - Jean-Gabriel Ganascia, Bassel Habib:
An Attempt to Rebuild C. Bernard's Scientific Steps. Discovery Science 2007: 248-252 - Hélène Hagège, Christopher Dartnell, Jean Sallantin:
Positivism Against Constructivism: A Network Game to Learn Epistemology. Discovery Science 2007: 91-103 - Gaëlle Hignette, Patrice Buche, Juliette Dibie-Barthélemy, Ollivier Haemmerlé:
Semantic Annotation of Data Tables Using a Domain Ontology. Discovery Science 2007: 253-258 - Jaakko Hollmén:
Model Selection and Estimation Via Subjective User Preferences. Discovery Science 2007: 259-263 - Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai:
Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science 2007: 104-115 - Heung-Nam Kim, Inay Ha, Jin-Guk Jung, GeunSik Jo:
User Preference Modeling from Positive Contents for Personalized Recommendation. Discovery Science 2007: 116-126 - Masaru Kitsuregawa:
Challenge for Info-plosion. Discovery Science 2007: 1-8 - Hayato Kobayashi, Kohei Hatano, Akira Ishino, Ayumi Shinohara:
Reducing Trials by Thinning-Out in Skill Discovery. Discovery Science 2007: 127-138 - Shin-ichi Minato:
A Theoretical Study on Variable Ordering of Zero-Suppressed BDDs for Representing Frequent Itemsets. Discovery Science 2007: 139-150 - Tommi Mononen, Petri Myllymäki:
Fast NML Computation for Naive Bayes Models. Discovery Science 2007: 151-160 - Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Masayuki Takeda:
Unsupervised Spam Detection Based on String Alienness Measures. Discovery Science 2007: 161-172 - Kyosuke Nishida, Koichiro Yamauchi:
Detecting Concept Drift Using Statistical Testing. Discovery Science 2007: 264-269 - Risa Nishiyama, Hironori Takeuchi, Hideo Watanabe:
Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents. Discovery Science 2007: 270-274 - Andrea Pietracaprina, Fabio Vandin:
Efficient Incremental Mining of Top-K Frequent Closed Itemsets. Discovery Science 2007: 275-280 - Oliver Ray, Katsumi Inoue:
A Consequence Finding Approach for Full Clausal Abduction. Discovery Science 2007: 173-184 - Hiroshi Sankoh, Koichiro Doi, Akihiro Yamamoto:
An Intentional Kernel Function for RNA Classification. Discovery Science 2007: 281-285 - Jürgen Schmidhuber:
Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. Discovery Science 2007: 26-38 - Kazuhiro Seki, Javed Mostafa:
Literature-Based Discovery by an Enhanced Information Retrieval Model. Discovery Science 2007: 185-196 - Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf:
A Hilbert Space Embedding for Distributions. Discovery Science 2007: 40-41 - V. Suresh, Narayanan Raghupathy, B. Shekar, C. E. Veni Madhavan:
Discovering Mentorship Information from Author Collaboration Networks. Discovery Science 2007: 197-208 - Arkadiusz Tomczyk, Piotr S. Szczepaniak, Michal Pryczek:
Active Contours as Knowledge Discovery Methods. Discovery Science 2007: 209-218 - Hisashi Tosaka, Atsuyoshi Nakamura, Mineichi Kudo:
Mining Subtrees with Frequent Occurrence of Similar Subtrees. Discovery Science 2007: 286-290 - Takeaki Uno, Hiroki Arimura:
An Efficient Polynomial Delay Algorithm for Pseudo Frequent Itemset Mining. Discovery Science 2007: 219-230