📰 ICML 1999 — accepted papers

ICML 1999 is the 1999 edition of the International Conference on Machine Learning (ICML). OpenAlex lists 13 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Sonar-Based Mapping of Large-Scale Mobile Robot Environments using EM ↗Wolfram Burgard, Dieter Fox, Hauke Jans et al.79 citations
2. Model Selection in Unsupervised Learning with Applications To Document Clustering ↗Shivakumar Vaithyanathan, Byron Dom49 citations
3. GA-based Learning of Context-Free Grammars using Tabular Representations ↗Yasubumi Sakakibara, Mitsuhiro Kondo42 citations
4. Learning to Optimally Schedule Internet Banner Advertisements ↗Naoki Abe, Atsuyoshi Nakamura32 citations
5. Discriminant Trees ↗João Manuel Portela da Gama29 citations
6. An Region-Based Learning Approach to Discovering Temporal Structures in Data ↗Wei Zhang5 citations
7. Distributed Robotic Learning: Adaptive Behavior Acquisition for Distributed Autonomous Swimming Robot in Real World ↗Daisuke Iijima, Wenwei Yu, Hiroshi Yokoi et al.5 citations
8. A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms ↗Yuanhui Zhou, Carla E. Brodley3 citations
9. Learning Discriminatory and Descriptive Rules by an Inductive Logic Programming System ↗Maziar Palhang, Arcot Sowmya2 citations
10. OPT-KD: An Algorithm for Optimizing Kd-Trees ↗Douglas A. Talbert, Douglas Fisher2 citations

All accepted papers (13)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Sonar-Based Mapping of Large-Scale Mobile Robot Environments using EM ↗Wolfram Burgard, Dieter Fox, Hauke Jans et al.79 citations
2. Model Selection in Unsupervised Learning with Applications To Document Clustering ↗Shivakumar Vaithyanathan, Byron Dom49 citations
3. GA-based Learning of Context-Free Grammars using Tabular Representations ↗Yasubumi Sakakibara, Mitsuhiro Kondo42 citations
4. Learning to Optimally Schedule Internet Banner Advertisements ↗Naoki Abe, Atsuyoshi Nakamura32 citations
5. Discriminant Trees ↗João Manuel Portela da Gama29 citations
6. An Region-Based Learning Approach to Discovering Temporal Structures in Data ↗Wei Zhang5 citations
7. Distributed Robotic Learning: Adaptive Behavior Acquisition for Distributed Autonomous Swimming Robot in Real World ↗Daisuke Iijima, Wenwei Yu, Hiroshi Yokoi et al.5 citations
8. A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms ↗Yuanhui Zhou, Carla E. Brodley3 citations
9. Learning Discriminatory and Descriptive Rules by an Inductive Logic Programming System ↗Maziar Palhang, Arcot Sowmya2 citations
10. OPT-KD: An Algorithm for Optimizing Kd-Trees ↗Douglas A. Talbert, Douglas Fisher2 citations
11. Learning to Ride a Bicycle using Iterated Phantom Induction ↗Mark S. Brodie, GERALD F. DEJONG1 citation
12. Noise-Tolerant Recursive Best-First Induction ↗Uroš Pompe
13. On Some Misbehaviour of Back-Propagation with Non-Normalized RBFNs and a Solution ↗Attilio Giordana, Roberto Piola

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Transductive Inference for Text Classification using Support Vector MachinesInternational Conference on Machine Learning (ICML)Thorsten Joachims1999 · 2,749 citations

📚 Fields

🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/1999/