1,090 Publications (Page 36 of 44)
2001
An Evolutionary Multi-Objective Local Selection Algorithm for Customer TargetingKim, Y-S⋅Street, WN and Menczer, F
An Evolutionary Multi-Objective Local Selection Algorithm for Customer TargetingKim, Y-S⋅Street, WN and Menczer, F.
| Conference Proceeding
Emerging small-world referral networks in evolutionary labor marketsTassier, Troy and Menczer, FilippoIEEE TRANS EVOL COMPUT, vol. 5, (no. 5), pp. 482-492, 2001.
| Journal Article
Emerging Small-World Referral Networks in Evolutionary Labor MarketsTassier, T and Menczer, F(pp. 482–492)
Evaluating topic-driven web crawlersMenczer, Filippo⋅Pant, Gautam⋅Srinivasan, Padmini⋅Ruiz, M⋅Ruiz, Miguel E and Srinivasan, PAnnual ACM Conference on Research and Development in Information Retrieval: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval. 2001.
| Conference Proceeding
Evaluating Topic-Driven Web CrawlersMenczer, F⋅Pant, G⋅Ruiz, M and Srinivasan, P(pp. 241–249). ACM Press
Evolving Heterogeneous Neural Agents by Local SelectionMenczer, F⋅Street, WN and Degeratu, M(pp. 337–365). MIT Press
-Book chapter-Menczer, F⋅Street, WN and Degeratu, MIn Evolving Heterogeneous Neural Agents by Local Selection. (pp. 337–365). MIT Press. 2001
Latency-dependent fitness in evolutionary multithreaded Web agentsDegeratu, M⋅Pant, G and Menczer, F.
| Conference Proceeding
Latency-dependent fitness in evolutionary multithreaded Web agentsDegeratu, M⋅Pant, G and Menczer, F(pp. 313–316)
Links tell us about lexical and semantic Web contentMenczer, Filippo2001-08-07.
| Journal Article
OAMulator: a teaching resource to introduce computer architecture conceptsMenczer, Filippo and Segre, IAACM Journal on Educational Resources in Computing, vol. 1, (no. 4), 2001.
| Journal Article
OAMulator: a teaching resource to introduce computer architecture concepts
Segre, Alberto
. | Journal Article
Unsupervised Model Selection via Evolutionary Local SearchKim, Y-S⋅Street, WN and Menczer, F.
| Conference Proceeding
Unsupervised Model Selection via Evolutionary Local SearchKim, Y-S⋅Street, WN and Menczer, F
2000
Adaptive retrieval agents: internalizing local context and scaling up to the WebMenczer, Filippo and Belew, Richard KMACH LEARN, vol. 39, (no. 2), pp. 203-242, 2000.
| Journal Article
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the WebMenczer, F and Belew, RK(pp. 203–242)
Co-evolution of movement behaviors by tropical pelagic predatory fishes in response to prey environment: A simulation modelDagorn, L⋅Menczer, F⋅Bach, P and Olson, REcological Modelling, vol. 134, pp. 325–341.
| Journal Article
Co-evolution of movement behaviors by tropical pelagic predatory fishes in response to prey environment: A simulation modelDagorn, L⋅Menczer, F⋅Bach, P and Olson, R(pp. 325–341)
Co-evolution of movement behaviours by tropical pelagic predatory fishes in response to prey environment: a simulation modelDagorn, Laurent⋅Menczer, Filippo⋅Bach, Pascal and Olson, Robert JEcological Modelling, vol. 134, (no. 2), pp. 341, 2000.
| Journal Article
Efficient and scalable Pareto optimization by evolutionary local selection algorithms.Menczer, Filippo⋅Degeratu, M and Street, W. NEvolutionary computation, vol. 8, (no. 2), pp. 223-47, 2000.
| Journal Article
Efficient and Scalable Pareto Optimization by Evolutionary Local Selection AlgorithmsMenczer, F⋅Degeratu, M and Street, WN(pp. 223–247)
Feature selection in unsupervised learning via evolutionary searchKim, Yeongseog⋅Street, Nick and Menczer, FilippoConference on Knowledge Discovery in Data: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining; 20-23 Aug. 2000. 2000.
| Conference Proceeding
Feature Selection in Unsupervised Learning via Evolutionary SearchKim, Y-S⋅Street, WN and Menczer, F
1999
Is Agent-based Online Search Feasible?Menczer, F.AAAI Press.
| Conference Proceeding