Sciweavers

DMIN
2008
190views Data Mining» more  DMIN 2008»
13 years 6 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
ALENEX
2008
133views Algorithms» more  ALENEX 2008»
13 years 6 months ago
Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...
Shawn O'Neil, Amitabh Chaudhary
ACL
2007
13 years 6 months ago
Instance-based Evaluation of Entailment Rule Acquisition
Obtaining large volumes of inference knowledge, such as entailment rules, has become a major factor in achieving robust semantic processing. While there has been substantial resea...
Idan Szpektor, Eyal Shnarch, Ido Dagan
ETVC
2008
13 years 6 months ago
Intrinsic Geometries in Learning
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
Richard Nock, Frank Nielsen
DIS
2006
Springer
13 years 6 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
GOSLER
1995
13 years 8 months ago
Learning and Consistency
In designing learning algorithms it seems quite reasonable to construct them in such a way that all data the algorithm already has obtained are correctly and completely reflected...
Rolf Wiehagen, Thomas Zeugmann
SBIA
2000
Springer
13 years 8 months ago
An Environment for Rule Extraction and Evaluation from Databases
Abstract Classi
José Augusto Baranauskas, Maria Carolina Mo...
ICALP
1998
Springer
13 years 8 months ago
A Neuroidal Architecture for Cognitive Computation
An architecture is described for designing systems that acquire and manipulate large amounts of unsystematized, or so-called commonsense, knowledge. Its aim is to exploit to the fu...
Leslie G. Valiant
ENC
2004
IEEE
13 years 8 months ago
A Method Based on Genetic Algorithms and Fuzzy Logic to Induce Bayesian Networks
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
Manuel Martínez-Morales, Ramiro Garza-Dom&i...
CAV
2010
Springer
243views Hardware» more  CAV 2010»
13 years 8 months ago
libalf: The Automata Learning Framework
d Abstract) Benedikt Bollig1 , Joost-Pieter Katoen2 , Carsten Kern2 , Martin Leucker3 , Daniel Neider2 , and David R. Piegdon2 1 LSV, ENS Cachan, CNRS, 2 RWTH Aachen University, 3 ...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...