|
Titel
|
Author
|
Year
|
Type
|
|
Online Classification of States in Intensive Care
|
Gather, Ursula and Fried, Roland and Imhoff, Michael
|
2000
|
Techreport
|
|
{W}rapper {G}eneration via {G}rammar {I}nduction
|
Boris Chidlovskii and jon Ragetli and Maarten de Rijke
|
2000
|
Incollection
|
|
{A} {M}ulti-{A}gent {S}ystem to {S}upport {E}xploiting an {X}{M}{L}-based {C}orporate {M}emory
|
Gandon, F. and Dieng, R. and Corby, O. and Giborin, A.
|
2000
|
Incollection
|
|
{A} {C}ommitment-{B}ased {A}pproach to {A}gent {S}peech {A}cts and {C}onversations
|
Marco Colombetti
|
2000
|
Incollection
|
|
Cascade Generalization
|
Gama, Jo{ã}o and Brazdil, Pavel
|
2000
|
Article
|
|
Learning to Construct Knowledge Bases from the {W}orld {W}ide {W}eb
|
Mark Craven and Dan DiPasquo and Dayne Freitag and Andrew K. McCallum and Tom M. Mitchell and Kamal Nigam and Se{á}n Slattery
|
2000
|
Article
|
|
Proceedings of FGML 2000 (Fachgruppe Maschinelles Lernen)
|
|
2000
|
Proceedings
|
|
{M}inimax {TD}-{L}earning with neural {N}ets in a {M}arkov {G}ame
|
Fredrik A. Dahl and Ole Martin Halck
|
2000
|
Incollection
|
|
{D}iversity versus {Q}uality in {C}lassification {E}nsembles {B}ased on {F}eature {S}election
|
Pádraig Cunningham and John Carney
|
2000
|
Incollection
|
|
{A} {M}ultiple {M}odel {C}ost-{S}ensitive {A}pproach for {I}ntrusion {D}etection
|
Wei Fan and Wenke Lee and Salvatore J. Stolfo and Matthew Miller
|
2000
|
Incollection
|
|
{B}eyond {O}ccam's {R}azor: {P}rocess-{O}riented {E}valuation
|
Pedro Domingos
|
2000
|
Incollection
|
|
{R}ecognition and {M}easurement of {I}ntellectual {R}essources: {T}he {A}ccounting-{R}elated {C}hallenges of {I}ntellectual {C}apital
|
O'Donnel, D. and O'Regan, P. and O'Regan, V.
|
2000
|
Incollection
|
|
KDD'99 Knowledge Discovery Contest
|
Charles Elkan
|
2000
|
Article
|
|
Results of the KDD?99 Classifier Learning
|
Charles Elkan
|
2000
|
Article
|
|
Machine Learning for Intelligent Processing of Printed Documents
|
F. Esposito and D. Malerba and F.A. Lisi
|
2000
|
Article
|
|
{S}caling {U}p a {B}oosting-{B}ased {L}earner via {A}daptive {S}ampling
|
Carlos Domingo and Osamu Watanabe
|
2000
|
Inproceedings
|
|
{D}evelopment and {E}valuation of {C}lustering {T}echniques for {F}inding {P}eople
|
Dunlop. M. D.
|
2000
|
Incollection
|
|
{B}oosting {A}pplied to {W}ord {S}ense {D}isambiguation
|
Gerard Escudero and Llu{\'i}s Màrquez and German Rigau
|
2000
|
Incollection
|
|
Hierarchical classification of Web content
|
S. Dumais and H. Chen
|
2000
|
Inproceedings
|
|
An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
|
N. Cristianini and J.Shawe-Taylor
|
2000
|
Book
|
|
{K}nowledge {M}anagement in the {S}ervice and {S}upport {B}usiness
|
Delic, K. A. and Dayal, U.
|
2000
|
Incollection
|
|
Learning to Construct Knowledge Bases from the {W}orld {W}ide {W}eb
|
Mark Craven and Dan DiPasquo and Dayne Freitag and Andrew K. McCallum and Tom M. Mitchell and Kamal Nigam and Se{á}n Slattery
|
2000
|
Article
|
|
n experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization.
|
T. G. Dietterich
|
2000
|
Article
|
|
{S}ituated {K}nowledge {M}anagement - {K}{M} on the {B}orderline between {C}haos and {R}igidity
|
Diefenbruch, M. and Hoffmann, M. and Misch, A. and Schneider, H.
|
2000
|
Incollection
|
|
Cheah, Yu and Raza Abidi, S. S.
|
{A} {S}cenarios {M}ediated {A}pproach for {T}acit {K}nowledge {A}cquisition and {C}rystallisation: {T}owards {H}igher {R}eturn-{O}n-{K}nowledge and {E}xperiance
|
2000
|
Incollection
|
|
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