Titel
|
Author
|
Year
|
Type
|
Kernel Logistic Regression and the Import Vector Machine
|
Zhu, Ji and Hastie, Trevor
|
2001
|
Inproceedings
|
Exploting Unlabeled Data in Content-Based Image Retrieval
|
Zhou, Zhi-Hua and Chen, Ke-Jia
|
2004
|
Inproceedings
|
{A} {W}ay of {I}ncreasing both {A}utonomy and {V}ersatility of a {K}{D}{D} {S}ystem
|
N. Zhong and C. Liu and S. Ohsuga
|
1997
|
Inproceedings
|
{G}enerating {C}lassifier {C}ommittees by {S}tochastically {S}electing both {A}ttributes and {T}raining {E}xamples
|
Zheng, Zijian
|
|
Inproceedings
|
Empirical and theoretical comparisons of selected criterion functions for document clustering. Machine Learning
|
Zhao, Y. and Karypis, G.
|
2004
|
Inproceedings
|
Reasoning About Persistence: a Theory of Actions
|
Yan Zhang and Norman Y. Foo
|
1993
|
Inproceedings
|
A Region-Based Approach to Discovering Temporal Structures in Data
|
Wei Zhang
|
1999
|
Inproceedings
|
Reasoning with Implicational and Referential Constraints in Semantic Query Optimization
|
Xubo Zhang and Z. Meral Ozsoyoglu
|
1994
|
Inproceedings
|
Model--Based Learning of Rules for Error Diagnosis
|
Zercher, Kai
|
1988
|
Inproceedings
|
An adaptive meta-clustering approach:Combining the information from different clustering results. In: Proc. IEEE Computer Society Bioinformatics Conference
|
Zeng, Y. and Tang, J. and Garcia-Frias, J. and Gao, G.
|
2002
|
Inproceedings
|
How Can an Agent Learn to Negotiate
|
Dajun Zeng and Katia Sycara
|
1997
|
Inproceedings
|
Combining {FOIL} and {EBG} to Speed--up Logic Programs
|
John M. Zelle and Raymond J. Mooney
|
1993
|
Inproceedings
|
The {SNNS} Neural Network Simulator
|
Andreas Zell and Niels Mache and Tilman Sommer and Thomas Korb
|
1991
|
Inproceedings
|
{NetSim}: {E}in {S}imulator für {N}euronale {N}etze
|
Andreas Zell and Thomas Korb and Tilmann Sommer and Rolf Bayer
|
1989
|
Inproceedings
|
Dialogue Cohesion Sharing and Adjusting in an Enhanced Multimodal Environment
|
Massimo Zancanaro and Oliviero Stock and Carlo Strapparava
|
1993
|
Inproceedings
|
Grouper: a dynamic clustering interface to Web search results. Computer Networks
|
Zamir, O. and Etzioni, O.
|
1999
|
Inproceedings
|
{W}eb Document Clustering: {A} Feasibility Demonstration
|
Zamir, Oren and Etzioni, Oren
|
1998
|
Inproceedings
|
PlanMine: Sequence Mininig for Plan Failures
|
Zaki, Mohammed J. and Lesh, Neal and Ogihara, Mitsunori
|
1998
|
Inproceedings
|
{G}enerating non-redundant association rules
|
{M}ohammed {J}aveed {Z}aki
|
2000
|
Inproceedings
|
Explicit and Implicit Beliefs
|
W. Zadrozny
|
1986
|
Inproceedings
|
{L}earning and {M}aking {D}ecisions {W}hen {C}osts and {P}robabilities are {B}oth {U}nknown
|
Zadrozny, Bianca and Elkan, Charles
|
2001
|
Inproceedings
|
{T}owards an {E}xtended {E}nterprise {M}emory in {T}extile {I}ndustry
|
Zacklad, M. and Boughzala, I. and Matta, N.
|
2000
|
Inproceedings
|
PEBL: Positve Example based learning for web page classification using SVM
|
Yu, Hwanjo and Han, Jiawei and Chang, Kevin Chen-Chuan
|
2002
|
Inproceedings
|
Unsupervised discovery of scenario-level patterns for information extraction
|
R. Yangarber and R. Grishman and P. Tapanaine and S. Huttunen
|
2000
|
Inproceedings
|
{A} Comparative Study on Feature Selection in Text Categorization
|
Yang, Yiming and Pedersen, Jan O.
|
1997
|
Inproceedings
|
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