CK: Fuhr/Pfeifer:91
DT: IP
AU: Fuhr, N.; Pfeifer, U.
TI: Combining Model-Oriented and Description-Oriented Approaches for
    Probabilistic Indexing
ER: Bookstein, A.; Chiaramella, Y.; Salton, G.; Raghavan, V.V.
BT: Proceedings of the Fourteenth Annual International ACM/SIGIR
    Conference on Research and Development in Information Retrieval
PN: ACM
PA: New York
PP: 46-56
LA: EN
ED: 28.10.91
PY: 1991
LO: P
RD: Fu
CC: H.3.3; H.99.3
SD: retrieval models
FT: probabilistic retrieval

CK: Fuhr/Pfeifer:94
DT: AR
AU: Fuhr, N.; Pfeifer, U.
TI: Probabilistic Information Retrieval as Combination of Abstraction,
    Inductive Learning and Probabilistic Assumptions
JT: TOIS
VO: 12
NO: 1
PP: 92-115
LA: EN
ED: 04.01.93
PY: 1994
LO: D
RD: Fu
CC: H.3.3; H.99.3
SD: retrieval models
FT: probabilistic retrieval

CK: Pfeifer:91
DT: IP
AU: Pfeifer, U.
TI: Entwicklung linear iterativer und logistischer
    Indexierungsfunktionen
ER: Fuhr, N.
BT: Information Retrieval
PN: Springer
PA: Berlin et al.
PP: 23-37
LA: GE
ED: 02.07.91
PY: 1991 
RD: Pf
GT: experimentation
CC: H.3.1; G.1.2
SD: least squares approximation; indexing methods
FT: logistic functions; indexing functions; DIA

CK: Fuhr/etal:94
DT: IP
CR: TREC-2
AU: Fuhr, N.; Pfeifer, U.; Bremkamp, C.; Pollmann, M.; Buckley, C.
TI: Probabilistic  Learning Approaches for Indexing and Retrieval
    with the TREC-2 Collection
LA: EN
ED: 02.12.93
PY: 1994
PR: TOAPP
LO: D
RD: Fu
CC: G.1.2; H.3.1; H.3.3; H.99.3
SD: least squares approximation; indexing methods; retrieval models
FT: probabilistic models; query expansion 
PP: 67-74

CK: Pfeifer/etal:94
DT: MC
AU: Pfeifer, U.; Pennekamp, S.; Fuhr, N.
TI: Incremental Processing of Vague Queries in Interactive Retrieval Systems
ED: 10.01.94
PY: 1994
PR: SUBMITTED
LO: D
RD: Fu
CC: H.3.2
SD: file organization

CK: Poersch/Pfeifer:94
DT: MC
AU: Poersch, T.; Pfeifer, U.
TI: Similarity Measures for Strings
LA: EN
ED: 10.01.94
PY: 1994
PR: SUBMITTED
LO: D
RD: Fu
CC: H.99.3

CK: Pfeifer/etal:95
DT: IP
AU: Pfeifer, U.; Fuhr, N.; Huynh, T.
TI: Searching Structured Documents with the Enhanced Retrieval
    Functionality of freeWAIS-sf and SFgate
ER: D. Kroemker
BT: Computer Networks and ISDN Systems; Proceedings of the third
    International World-Wide Web Conference
PN: Elsevier
PA: Amsterdam - Lausanne - New York - Oxford - Shannon - Tokyo
PP: 1027-1036
LA: EN
ED: 03.02.95
PY: 1995
PM: APR
PR: Available in electronic form from
    http://www.igd.fhg.de/www/www95/papers/47/fwsf/fwsf.html and
    http://www.elsevier.nl (passwd els4www3)
LO: P
RD: Pf
CC: H.2.3; H.3.2
SD: Query languages 
FT: WAIS, Form, User-Interface, Query Language, Retrieval, Search,
    Multi-Server Search, Network Information Retrieval
AB: The original WAIS implementation by Thinking Machines et
    al. treats documents as uniform bags of terms. Since most
    documents exhibit some internal structure, it is desirable to
    provide the user means to exploit this structure in his
    queries. ...

CK: Pfeifer/etal:95a
DT: IP
CR: HIM:95
AU: Pfeifer, U; Poersch, T; Fuhr, N.
TI: Searching Proper Names in Databases
PP: 259-276
LA: EN
ED: 03.02.95
PY: 1995
LO: P
RD: tha

CK: Pfeifer/Fuhr:95
DT: IP
AU: Pfeifer, U.; Fuhr, N.
TI: Efficient Processing of Vague Queries using a Data Stream Approach
BT: Proceedings of the 18th International {ACM SIGIR} Conference on
    Research and Development in Information Retrieval
PN: ACM
PA: New York
PP: 189-198
LA: EN
ED: 10.03.95
PY: 1995
CN: (to appear)
LO: P
RD: Pf
CC: H.2.4; H.3.3; H.99.4
SD: query processing; selection process
FT: stream-oriented

CK: Pfeifer:90
DT: TR
RT: DPA
AU: Pfeifer, U.
TI: Development of Log-Linear and Linear-Iterative Indexing Functions
    (in German)
PI: DVS2
LA: GE
ED: 09.01.90
PY: 1990
LO: D
RD: Fu
CC: I.5.1; I.2.6; G.1.2; H.3.1
SD: statistical models; parameter learning; least squares
    approximation; nonlinear approximation; Indexing methods
FT: DIA; logistic regression; maximum likelihood estimation
