India and India missions : including sketches of the gigantic system of hinduism, both in theory and practive : also notices of some of the principal agencies employed in conducting the process of Indian evangalization, etc. etc.

http://books.google.com/books?vid=OCLC05766993

The Role of Arts in the Process of Leadership Formation and Ecclesial Transformation

This dissertation investigates how the arts can be instrumental in the process of leadership formation and church transformation. By synthesizing results of an evaluation survey with a holistic-inductive design of inquiry, this dissertation demonstrates that the arts, as expressions of faith, can be transformative. By presenting the arts program at the Old West Church in Boston, which integrates arts as a medium for the expression of the Christian faith, this dissertation provides biblical, theological, and practical frameworks for reflecting on the transformative character of arts in the process of leadership formation and church transformation.

Learning Unions of Rectangles with Queries

We investigate the efficient learnability of unions of k rectangles in the discrete plane (1,...,n)[2] with equivalence and membership queries. We exhibit a learning algorithm that learns any union of k rectangles with O(k^3log n) queries, while the time complexity of this algorithm is bounded by O(k^5log n). We design our learning algorithm by finding "corners" and "edges" for rectangles contained in the target concept and then constructing the target concept from those "corners" and "edges". Our result provides a first approach to on-line learning of nontrivial subclasses of unions of intersections of halfspaces with equivalence and membership queries.

Sequential Memory with ART: A Self-Organizing Network Capable of Learning Sequences of Patterns

A model which extends the adaptive resonance theory model to sequential memory is presented. This new model learns sequences of events and recalls a sequence when presented with parts of the sequence. A sequence can have repeated events and different sequences can share events. The ART model is modified by creating interconnected sublayers within ART's F2 layer. Nodes within F2 learn temporal patterns by forming recency gradients within LTM. Versions of the ART model like ART I, ART 2, and fuzzy ART can be used.