ICML 1998 - PDF Preprint Papers

ICML 1998 Workshop on Statistical Network Analysis

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed ICML-1998 Paper

click to vote

ICML
1998
IEEE

335views Machine Learning» more ICML 1998»

Structural Machine Learning with Galois Lattice and Graphs

15 years 7 days ago

Download www.lirmm.fr

Michel Liquiere, Jean Sallantin

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Id	Views	Title	Status

1	335	Structural Machine Learning with Galois Lattice and Graphs	claim
2	268	The MAXQ Method for Hierarchical Reinforcement Learning	claim
3	264	A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization	claim
4	229	Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting	claim
5	226	An Efficient Boosting Algorithm for Combining Preferences	claim
6	209	An Information-Theoretic Definition of Similarity	claim
7	202	Learning to Drive a Bicycle Using Reinforcement Learning and Shaping	claim
8	197	Learning Collaborative Information Filters	claim
9	193	Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach	claim
10	185	Feature Selection via Concave Minimization and Support Vector Machines	claim
11	183	Employing EM and Pool-Based Active Learning for Text Classification	claim
12	179	Value Function Based Production Scheduling	claim
13	177	Ridge Regression Learning Algorithm in Dual Variables	claim
14	174	Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus	claim
15	174	A Case Study in the Use of Theory Revision in Requirements Validation	claim
16	169	Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions	claim
17	166	Improving Text Classification by Shrinkage in a Hierarchy of Classes	claim
18	165	Intra-Option Learning about Temporally Abstract Actions	claim
19	163	Learning to Locate an Object in 3D Space from a Sequence of Camera Images	claim
20	161	Heading in the Right Direction	claim
21	155	Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm	claim
22	153	RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning	claim
23	152	Multi-criteria Reinforcement Learning	claim
24	149	An Analysis of Direct Reinforcement Learning in Non-Markovian Domains	claim
25	148	Teaching an Agent to Test Students	claim
26	138	The Case against Accuracy Estimation for Comparing Induction Algorithms	claim
27	136	Relational Reinforcement Learning	claim
28	133	Using Learning for Approximation in Stochastic Processes	claim
29	125	A Process-Oriented Heuristic for Model Selection	claim
30	125	A Randomized ANOVA Procedure for Comparing Performance Curves	claim
31	108	The Problem with Noise and Small Disjuncts	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers