Titel
|
Author
|
Year
|
Type
|
A probabilistic model of plan recognition
|
Charniak, E. and Goldman, R.
|
1991
|
Inproceedings
|
The {OMG} Mobile Agent Facility: A Submission
|
D. Chang and S. Covaci
|
1997
|
Inproceedings
|
The {TSIMMIS} Project: Integration of heterogeneous information sources
|
Sudarshan Chawathe and Hector Garcia-Molina and Joachim Hammer and Kelly Ireland and Yannis Papakonstantinou and Jeffrey D. Ullman and Jennifer Widom
|
1994
|
Inproceedings
|
In Defence of Probability
|
Peter Cheeseman
|
1985
|
Inproceedings
|
Random Sampling for Histogram Construction: How much is enough?
|
Chaudhuri, Surajit and Motwani, Rajeev and Narasayya, Vivek
|
1998
|
Inproceedings
|
Analysis of Nonstationary Time Series Using Support Vector Machines
|
Chang, Ming-Wei and Lin, Chih-Jen and Weng, Ruby C.
|
2002
|
Inproceedings
|
One-class svm for learning in image retrieval
|
Chen, Y. and Zhou, X. and Huang, T.
|
2001
|
Inproceedings
|
Mining Temporal Features in Association Rules
|
Chen, Xiaodong and Petrounias, Ilias
|
1999
|
Inproceedings
|
Hedging Derivative Securities with Genetic Programming
|
Shu-Heng Chen, Woh-Chiang Lee, Chia-Hsuan Yeh
|
1998
|
Inproceedings
|
Strategically Mobile Agents
|
T. Chia and S. Kannapan
|
1997
|
Inproceedings
|
Using and refining simplifications: Explanation-based learning of plans in intractable domains
|
S.A. Chien
|
1989
|
Inproceedings
|
Flexible Time Series Pattern Matching Based on Perceptually Important Points
|
Fu-lai Chung, Tak-chung Fu, Robert W.P. Luk and Vincend Ng
|
2001
|
Inproceedings
|
A relevance feedback mechanism for content-based image retrieval.
|
Ciocca, G. and Schettini, R.
|
1999
|
Inproceedings
|
Learning Morphology with Pair Hidden Markov Models
|
Alexander Clark
|
2001
|
Inproceedings
|
Lazy Partial Evaluation - An Integration of Explanation-Based Generalization and Partial Evaluation
|
Peter Clark and Rob Holte
|
1992
|
Inproceedings
|
Efficient Pruning Methods for Separate--and--Computer Rule Learning Systems
|
William W. Cohen
|
1993
|
Inproceedings
|
Text Categorization and Relational Learning
|
Cohen, William W.
|
1995
|
Inproceedings
|
Learning Rules that Classify E-Mail
|
Cohen, William W.
|
1996
|
Inproceedings
|
Properties and Benefits of Calibrated Classifiers
|
Cohlen, Ira and Goldszmidt, Moises
|
2004
|
Inproceedings
|
An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes
|
{P}aul {C}ohen and {B}rent {H}eeringa and {N}iall M. {A}dams
|
2002
|
Inproceedings
|
Automating Path Analysis for Building Causal Models from Data: First Results and Open Problems
|
Cohen, Paul R. and Ballesteros, Lisa and Carlson, Adam and St. Amand, Robert
|
1993
|
Inproceedings
|
Fragments of a theory of human plausible reasoning
|
Collins, A.
|
1978
|
Inproceedings
|
{W}hat {C}an {W}e {L}earn {F}rom {T}he {W}eb?
|
Willian W. Cohen
|
1999
|
Inproceedings
|
Positive and Unlabeled Examples Help Learning
|
Francesco De Comité, Françcois Denis, Rémi Gilleron, and Fabien Letouzey
|
1999
|
Inproceedings
|
Model--Based Diagnosis Meets Error Diagnosis in Logic Programming
|
Luca Console and Gerhard Friedrich and Daniele Theseider Dupré
|
1993
|
Inproceedings
|
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