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Full-Text Articles in Physical Sciences and Mathematics
Connectivity And Performance Tradeoffs In The Cascade Correlation Learning Architecture, D. S. Phatak, I. Koren
Connectivity And Performance Tradeoffs In The Cascade Correlation Learning Architecture, D. S. Phatak, I. Koren
Computer Science Department Faculty Publication Series
The Cascade Correlation [1] is a very flexible, efficient and fast algorithm for supervised learning. It incrementally builds the network by adding hidden units one at a time, until the desired input/output mapping is achieved. It connects all the previously installed units to the new unit being added. Consequently, each new unit in effect adds a new layer and the fan–in of the hidden and output units keeps on increasing as more units get added. The resulting structure could be hard to implement in VLSI, because the connections are irregular and the fan-in is unbounded. Moreover, the depth or the …
Isr3: Communication And Data Storage For An Unmanned Ground Vehicle*, Bruce A. Draper, Gökhan Kutlu, Edward M. Riseman, Allen R. Hanson
Isr3: Communication And Data Storage For An Unmanned Ground Vehicle*, Bruce A. Draper, Gökhan Kutlu, Edward M. Riseman, Allen R. Hanson
Computer Science Department Faculty Publication Series
Computer vision researchers working in mobile robotics and other real-time domains are forced to confront issues not normally addressed in the computer vision literature. Among these are: communications or how to get data from one process to another; data storage and retrieval (primarily for transient image-based data); and database management for maps, object model and other permanent (typically 3D) data. This paper reviews efforts at CMU, SRI and UMass to build real-time computer vision systems for mobile robotics, and presents a new tool, called ISR3, for communications, data storage/retrieval and database management on the UMass Mobile Perception Laboratory (MPL), a …
Domain-Specific Knowledge Acquisition For Conceptual Sentence Analysis, Claire Cardie
Domain-Specific Knowledge Acquisition For Conceptual Sentence Analysis, Claire Cardie
Computer Science Department Faculty Publication Series
The availability of on-line corpora is rapidly changing the field of natural language processing (NLP) from one dominated by theoretical models of often very specific linguistic phenomena to one guided by computational models that simultaneously account for a wide variety of phenomena that occur in real-world text. Thus far, among the best-performing and most robust systems for reading and summarizing large amounts of real-world text are knowledge-based natural language systems. These systems rely heavily on domain-specific, handcrafted knowledge to handle the myriad syntactic, semantic, and pragmatic ambiguities that pervade virtually all aspects of sentence analysis. Not surprisingly, however, generating this …