Stem connectionist$ (all stems)

20 papers:

ICEIS-AIDSS-2009-MasvoulaKM

Integrating Agents with Connectionist Systems to Extract Negotiation Routines (MM, PK, DM), pp. 251–256.

ICEIS-AIDSS-2007-StateCPS #approach #classification

A Connectionist Approach in Bayesian Classification (LS, CC, PV, VS), pp. 185–190.

ICML-2006-GravesFGS #classification #network #sequence

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (AG, SF, FJG, JS), pp. 369–376.

MLDM-2003-LazliS #fuzzy #logic #probability #recognition #speech #using

Connectionist Probability Estimators in HMM Arabic Speech Recognition Using Fuzzy Logic (LL, MS), pp. 379–388.

SAC-2003-VulloF #approach #predict #recursion

A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins (AV, PF), pp. 67–71.

ICML-2000-HougenGS #approach #learning

An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control (DFH, MLG, JRS), pp. 383–390.

ICML-1997-BottaGP #first-order #learning #logic #named

FONN: Combining First Order Logic with Connectionist Learning (MB, AG, RP), pp. 46–56.

ICPR-1996-Alexandre #invariant #pattern matching #pattern recognition #recognition

Connectionist cognitive processing for invariant pattern recognition (FA), pp. 679–683.

VLDB-1995-LuSL #approach #data mining #mining #named

NeuroRule: A Connectionist Approach to Data Mining (HL, RS, HL), pp. 478–489.

CIKM-1994-LamirelC #approach #database #design #interactive #learning #online

Application of a Symbolico-Connectionist Approach for the Design of a Highly Interactive Documentary Database Interrogation System with On-Line Learning Capabilities (JCL, MC), pp. 155–163.

CIKM-1994-SyuL #information retrieval #using

A Competition-Based Connectionist Model for Information Retrieval Using a Merged Thesaurus (IS, SDL), pp. 164–170.

ML-1991-Shultz #development #modelling #simulation

Simulating Stages of Human Cognitive Development With Connectionist Models (TRS), pp. 105–109.

ML-1990-ThintW #clustering #feature model #modelling

Feature Extraction and Clustering of Tactile Impressions with Connectionist Models (MT, PPW), pp. 253–258.

SEKE-1990-WangYT #information management #named #representation

CKRL: A Connectionist Knowledge Representation Language (JW, YY, JT), pp. 166–170.

ML-1989-Anderson #learning #network

Tower of Hanoi with Connectionist Networks: Learning New Features (CWA), pp. 345–349.

ML-1989-Diederich #learning

“Learning by Instruction” in connectionist Systems (JD), pp. 66–68.

ML-1989-FisherMMST #learning

Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems (DHF, KBM, RJM, JWS, GGT), pp. 169–173.

SIGIR-1989-Belew #adaptation #documentation #information retrieval #representation #using

Adaptive Information Retrieval: Using a Connectionist Representation to Retrieve and Learn About Documents (RKB), pp. 11–20.

ML-1988-Tesauro #learning

Connectionist Learning of Expert Backgammon Evaluations (GT), pp. 200–206.

ML-1988-WisniewskiA #induction #learning

Some Interesting Properties of a Connectionist Inductive Learning System (EJW, JAA), pp. 181–187.